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Monitoring your home through a 3g security camera

In the market, there are many home security devices with complex installation procedures, and it seems that it only suitable for professionals. But a new breed of 3g camera home-security systems promises to be simple enough to install without any professional help, cutting the cost of traditional alarm systems by taking advantage of technologies like wireless connectivity and battery-operated sensors. Our production JH09 is one it. It is a simple security tools you can add to almost any home without much fuss. It only takes you a moment to set up the device. No complex router configuration and technical skills are needed. The stand/wall mount holds the camera securely in place. Most security cameras use Bluetooth for local control and easier setup through your smartphone, while others incorporate separate home automation networking standards to interact with other devices.JH09match with latest 3G and Wi-Fi technology, you can access live video stream or recorded footage from anywhere any time, using our free mobile IOS & Android apps. Any movements can be detected. As soon as something abnormal happens, the device will send alert message to you in no time. Many new cameras include support for voice commands through Amazon Alexa and/or Google Assistant. Our product support interactive talking when hearing the baby wakes up or tell your dogs to get off the couch.

If you want to keep an eye on what’s happening at home when you’re not there, but you don’t need to invest in a full-fledged home security system, a 3g security camera is worth a look. Installing a security system has long been considered an electronic shield around your home and it lets you know the status of your pet and lets you inform the police when thieves break into the house. Whether you’re checking in on your kids, pets, or an exotic jewel collection, a home security camera is a great tool for keeping an eye on things from afar.

You can check at any time through your smartphone to monitor your house and you can relax in the knowledge that should anyone break in you'll instantly be alerted with frame grabs of the intruders sent to your mobile. In peace of mind you could check what is happening in the house through 720P live video stream. You can see and hear your zone with HD 720P frame grabs loaded with fantastic color representation, great night vision and fantastic audio clarity.The field of view should be considered as well. All security cameras have wide-angle lenses, but not all angles are created equal. Depending on the lens’ field of view, it can see between 100 and 180 degrees. That’s a big range in terms of the camera's vision cone. If you want to watch a large area, you should consider a camera with a very wide field of view. Our camera is you best choose since it’s vision is 360 degree. More information at www.jimilab.com .

#In the market there are many home security devices with complex installation procedures and it seems that it only suitable for professionals #3g security camera

Secure bike-sharing solution developed

Internet of things has changed the way we live, now, it is changing the way we move. Concox Smart BL10 GPS Bike Lock is a next-generation, cost-effective and secure bike-sharing solution developed by experienced innovators.Bike Sharing: A Wonderful Trip = A Bike + Aircraft / High-speed Rail / Metro + Another Bike.

China GPS Device

BL10 GPS Bike Lock have GPS positioning Low battery alert Vibration alert. BDS/GPS Positioning System.The BL10 receive BDS/GPS satellite signal and Wi-Fi/LBS signal synchronously.Faster searching and locating speed realizes more accurate bike locating. Powered by solar energy:Mono-crystalline silicon solar panels provides higher conversion efficiency, ensuring continuously solar-energy conversion. EVA film on the surface of the solar panel help improve battery's service life. OTA Remote Update: AMS end system management platform makes it easy to update the GPS lock remotely. Remote Monitoring:Operators are able to remotely monitor shared bikes by the cloud platfrom, realizing visualization operation and improving bike management efficiency.Usage Fees: Through GPS smart lock, user’s trip will be collected and uploaded to the Cloud platform. Usage fees would be calculated accordingly.

GPS Device Manufacturers In China

Bike Parking:To solve problems like illegal parking and difficulty in finding parking spot, operators can set geo-fences and iBeacon area for parking. Thus to locate the bike and view its status by precise orientation algorithm. Users can get recommended parking area on APP. If any illegal parking is detected, locking process would pause and notifications will be sent to user.

Report:Various data reports covering broken bikes, coverage and distribution, deposit and refund, maintenance personnel management can be generated. Mass bike data information is processed and filtered by cloud computing platform while data is processed in report form by data analysis platform.Broken Bike Report: Once any bike problem is reported to the cloud platform, operational staff will generate a service form that would be distributed to the service engineers in that area, realizing fast and timely response and solution.

Subscription:Each member is required to use the verification code to sign in the APP. Nearest bike can be viewed on the APP.Deposit:Refundable deposit is required to ensure your responsibility while using the bike. User can withdraw or pay deposit anytime. Reservation:User is able to make a bike reservation by APP. The timeout reservation will be automatically cancelled.

More information at http://www.iconcox.com/ .

Advantages of Utilizing Taxi Wireless GPS For Car

And in today’s world, anyone who stops and really thinks about taxis just assumes that they all use Wireless GPS For Car. It’s a no-brainer. A GPS tracking system and the Taxi business just go hand in hand with each other, and there are very good reasons why. Before GPS Tracking systems, communication with central control and each other ways much more difficult. Cell phones and smart phones either hadn’t been invented yet, or were not small enough and portable enough to do the job. Two way radios were about the only viable solution, and those had range limitations.

Before two way radios, taxis would queue up near busy intersections, or designated taxi stands, hoping that they would get a fare. If you needed an emergency taxi from your home, you would call the central office and wait until the next taxi went back to the office to be sent out to fetch you. Once the radios made it into the cabs, things became slightly faster, but much more dangerous. Radios that were always turned on caused annoying white noise when no one was on the system, and distracting chatter when contracts were being called out to other cabs. When phones started to make it to the market that were small enough to put in the cabs, they were often to expensive for the businesses. Whether it was a radio or a phone, receiving a call took at least one of the driver’s hands away from the wheel, and diverted his attention. We all know today that distracted driving increases the risk of an accident exponentially.

A taxi company’s central office was a hectic place, with a horde of operators receiving contracts, and then calling out on the radio system, asking for whomever was closest to the contract’s location to answer and take the fare. It was impossible to guess which car might be closest to the contract at any given time. Regardless of how big your fleet is, GPS Device China is a useful and effective device in taxi fleet management. With taxi management tracking using 3G GPS tracking device, you have all the information you need about each of your vehicles that will benefit your company as well as your customers. Information that are accessible anytime, anywhere you want. Drivers using business vehicles for personal use can be prevented. You don’t also have to worry anymore about your vehicles meeting accidents on the road due to speed driving. Because with taxi management tracking, you can do the following:Monitor your field employees even from afar to ensure productivity. Provide customers the estimated time of cab’s arrival to avoid unnecessary waiting. Locate the cab nearest to a requesting customer. Provide your employees live traffic updates. Give drivers alternate route to reduce delay

More information at http://www.iconcox.com/

Portable GPS Tracking systems are currently in use

Since the 1960s, the location of offenders under community supervision has been monitored with the assistance of electronic devices. Increasingly, electronic monitoring relies on technology that uses the global positioning system (GPS) to monitor offenders. The adoption of GPS monitoring has been facilitated by court decisions that find this form of surveillance can be employed without violating the offender’s constitutional rights. In fact, some states now require the use of GPS for certain perceived high-risk offender groups, particularly sex offenders. Phone GPS Tracker monitoring has also become more common in the supervision of domestic violence and drug offenders, as well as supervisees with gang affiliations. Although it has become an accepted part of community supervision, GPS monitoring is not without its complications.

GPS technology was created by the U.S. Department of Defense in the 1970s. Over time, GPS has been adapted for nonmilitary purposes and has become more affordable and portable. Usually combined with radio-frequency receivers, computer technology, and cell phone service, GPS utilizes satellites orbiting the earth to communicate information in real time (or near real time) about geographic location. In community corrections, offenders are generally required to wear a tamper-resistant, battery-operated radio-frequency transmitter around the ankle. They also must carry a Portable GPS Tracker unit with them, usually strapped around the waist or shoulder or carried by hand. If the offender fails to carry or attempts to disable the GPS Tracking People unit, enters a prohibited area, or leaves his or her home without authorization, an alert is issued to a central monitoring unit, overseen by corrections professionals or a private contractor. The offender’s supervisor is then notified. Even if the offender has not acted in violation of his or her supervision conditions, the supervisor can track the offender’s movements from stored data, which might be useful in identifying, or eliminating, the offender in reports of new crimes. Some newer GPS units can also determine alcohol consumption.

Passive, active, and hybrid Portable GPS Tracking monitoring systems are currently in use. Unlike active systems, which constantly relay real-time location information via cell phone service to a central monitoring system, passive systems relay information only when the offender connects the GPS Tracking Device unit to a docking station, usually connected with a land-line telephone. Hybrid systems are also available; these report information every few hours, and if an alert is detected, the real-time active system is triggered. GPS programs attempt to balance the integration of offenders into the community with public safety and security. GPS monitoring is significantly cheaper than incarceration. A cost analysis conducted in Florida estimated that enrolling all sex offenders in a GPS monitoring program would cost $8 million, but incarcerating them would cost $56 million. Also, to the degree that GPS monitoring diverts offenders from incarceration, it can lessen problems associated with overcrowding in jails and prisons.

Waterproof Tracking Device for electronic monitoring possible options

The methods of electronically monitoring offenders have seen recent advances in the use of global positioning system (GPS) and cellular technologies, which allow for more reliable and accurate tracking of offenders. As new technologies continue to develop, and as budgetary constraints continue to plague governmental entities,Waterproof Tracking Device, the possible options for electronic monitoring of offenders will continue to grow.

Counseling provides education and coping measures for addressing the cause or causes of the offender’s criminal behavior (such as substance abuse or uncontrolled anger). Drug and alcohol treatment programs focus on providing services to treat defendants for their physiological and psychological dependencies on alcohol and drugs, which are often the root cause of criminality. House arrest and electronic monitoring is a court-ordered sentence that requires an offender to remain confined to his or her residence for a specified amount of time. Home confinement can range from designated hours or days to weeks, months, or years. Ensuring that defendants comply with home confinement can include unannounced visits by a probation officer, telephonic reporting, or the use of electronic monitoring, which requires offenders to wear secure electronic devices around their wrists, ankles,Portable GPS or necks that either send a signal to a control office or are equipped with global positioning systems (GPS) to identify the exact location of the offender.

Current rehabilitative efforts have focused on the reintegration of offenders into society. Data repeatedly confirm that more than 80 percent of incarcerated offenders will be released to the community. Given high costs of incarceration, high rates of incarceration, and high rates of recidivism, assisting released inmates to reenter society successfully has the potential to decrease a state’s prison population. These reentry programs generally consist of three phases. Phase one entails preparation for release through institutionally based programs such as risk assessment, education, mentoring, substance abuse counseling, and job training. Phase two consists of transitional support components: monitoring, reporting, life skills training, and various forms of counseling, incorporated into the released offender’s daily or weekly routine. The final phase encompasses longterm support mechanisms enabling released offenders to receive the support determined necessary to keep them from reoffending or at least decrease the level of seriousness of offenses, should subsequent offenses occur. While utilization of the global positioning system (GPS) to facilitate monitoring devices enables greater surveillance, parole agents note that the resources and services provided during reentry are what moves the process along. Some of these Portable Tracker direct and indirect resources include transitional housing, employment opportunities, and education; services may include substance abuse counseling, job skills training, and anger management classes.

More information at http://www.jimilab.com

GPS Tracking For Cars the accuracy

Just like any other measurement, GPS Tracking For Cars the accuracy derived from GPS measurements are subject to errors that degrade the quality , including those of environmental interest. This section considers some of the most significant errors that undermine Waterproof Tracking Device observations and discusses the means by which these errors could be minimized and/or avoided.

The atmosphere is the medium above the Earth by which the Portable GPS signal passes before it reaches the receiver. Charged particles in the ionosphere (50–1000 km) and water vapour in the troposphere (1–8 km) affect the speed of the GPS signals, leading to an optical path length between the satellite and the receiver and a delay in the corresponding time the GPS signal takes to reach the receiver. One of the key tasks of geodetic GNSS processing software therefore is to “correct” the ranges between the satellite and the receiver so as to remove the effects of the Earth’s atmosphere, thereby reducing all optical path lengths to straight-line path lengths . The ionosphere is made of negatively charged electrons, positively charged atoms and molecules called ions. The charged particles are a result of free electrons that occur high in the atmosphere and are caused by solar activity and geomagnetic storms. The number of free electrons in the column of a unit area along which the signal travels between the sending satellite and the receiver make up what is known in GPS literatures as the Total Electron Content (TEC). Free electrons in the ionosphere delay the GPS code measurements, thus making them too long on the one-hand while advancing the GPS phase measurements, making them too short on the other hand, thus resulting in incorrect ranges . The size of the delay or advance (which can amount to tens of meters) depends on the TEC and carrier frequency, i.e., the ionosphere is a dispersive medium .

At last about the details of YEAR END SALE. First come first served. From Dec.1st -31st, ► All devices purchased will enjoy its tracking platform use FOR FREE for the first year. ► Any order of 100 PCS JV200 will get 10 PCS PLUS. ► Any order of 100 PCS TR02 / GT06E / GT710 / GT03A / GT03C / GT300 will get 5 PCS PLUS. ► Any order of 100 PCS trackers (exclude models above-mentioned) will get 5 PCS GT02A / GT02C / GK306 / GK309 or a Walkie Talkie. ► Your orders totaling $350,000+ in December will be presented with 1 PCS 3D DLP home projector worth $400.

More information at http://www.jimilab.com/.

Rear View Mirror across a network of stationary platforms with fixed mounted

The Rearview Mirror overall performance of multiple ATRs is optimized by first obtaining a metric that characterizes performance as a function of sensor properties (angular position in this case) as well as target types, and then uses this function during operation to drive the sensors into an optimum configuration.

Rear View Mirror Camera across a network of stationary platforms with fixed mounted . The approach illustrated how several existing components such as COTS computers and networking technology, video trackers, and ATD/R algorithms can be brought together to address the need for wide-area surveillance in a distributed processing environment. The tracking system is able to automatically establish where the camera FOVs intersect, and use this information to generate consistent labeling of objects across the network. This process was further augmented using a correlation based ATR algorithm to classify the tracked objects and assign unique labels. The interactions between the ATR and tracking algorithms were defined, and the algorithms were shown to work across a network of three client computers and a server using the TCP/IP protocol. The goal is to eventually evolve the concept of moving and airborne platforms. Here we envision that initially video data will be wirelessly transmitted to receiving computers on the ground where the processing will take place. In the future, Rearview Mirror Camera may be advantageous to process imagery aboard the platform and transmit only the salient results across the network. The greater challenge is to solve the FOV registration and the relative calibration between cameras for the moving platform scenario. While we seek a purely image based solution to this problem, it may be advantageous to explore the potential benefits of using GPS and other information about the platforms and their positions relative to one another. In the future, we anticipate that the ability to register the field of views of cameras on moving platforms may potentially lead to novel simplification of the guidance and control required to coordinate the relative behavior of the platforms.

More information at http://www.jimilab.com/.

Wireless Camera implementation of the prototype system

For the Wireless Camera implementation of the prototype system, voice-based dialog events are treated as synchronous events within a dialog server, which is almost natural for a dialog-based user interface. From the point of view of the entire system, however, handling events synchronously was considered not to be the best implementation when computing resources are scattered across a network. This is especially true for applications that work across heterogeneous networks (wired and wireless) where the quality of service often varies significantly and unexpectedly. It is thus highly desirable that service content can be generated, transmitted, and processed in an asynchronous manner. Equally important, however, is that these engineering considerations should maintain and enhance, rather than alter or compromise, the underlying fiinctionality.

These objectives have been achieved through careful design of an architectural asynchronous mode of interaction and loosely coupled interfaces between the home and the Wireless IP Camera secure broker; as well as, between the various components within these subsystems. Any communication between the home and the wireless secure broker has to be initiated by the enterprise application, thus denying any external system the ability to control the home. All forms of application control, therefore, lie entirely with the home. lication control, therefore, lie entirely with the home. In order to protect the home against insecure remote access, the entry process to the home server is toughened up by putting it behind a firewall. No real sensitive data is stored persistently outside the home server. Since wireless devices are far more likely to fall into the hands of unauthorized users, providing strong authentication and authorization approaches is extremely critical. An important principle that has been adopted in order to address this problem is to perform all the authentication and authorization checks at the application level rather than at the web server. An application-driven authentication routine goes and checks a database prior to authenticating the user and allowing the user access to services.

By using GSM Camera file-based approach to storing registration records, any new registration information would be stored in a text file on the file system of the wireless secure broker. When the enterprise application requested the pending registration records, the same file would be read and used to generate the response document to be sent back to the enterprise application.

More information at http://www.jimilab.com/

Cars are normally collected using Mini GPS Trackers

Cars are normally collected using Mini GPS Trackers radiosondes, satellites (polar and geostationary) and other sources, e.g., flight data from aeroplanes. Whereas points out that about 9,500 land-based stations and 7,000 merchant ships at any one time send up, noted that most of these data cover the northern hemisphere, with the southern hemisphere lacking adequate data due to financial constraints. The lack of radiosonde data is also noted in the oceanic areas, hence leading to a shortage of adequate data for NWP and car models. The shortage of radiosonde data, however, is partly compensated for by the availability of polar and geostationary satellite data.

GPS was developed by the US for its military purposes. It is an all weather tool capable of providing three-dimensional positions at any time . At the time of its conception, fewer civilian uses were envisaged. In recent years, however, its use has cars, e.g., Small GPS Tracker . This wide increase in GPS usage has led to the establishment of other equivalent systems by various nations/group of nations in the interest of their national security.

Not long ago, newspapers ran front-page articles about a hunter who had been lost for three days in snowy mountains during the middle of winter, supposedly be-cause his GPS receiver had given him directions. The only reason he sur- vived was that he was accidentally discovered by a passing snowmobiler. Rangers who later tested his receiver found it was working fine; a more likely explanation was that he hadn’t understood how to use it. But the story got wide publicity and did little to increase the public’s confidence in Tracker For Car. Similar stories regularly make headlines. A driver in New York narrowly escaped death when he turned onto a railroad track in front of an oncoming train because his GPS receiver told him to turn. A family in Oregon was trapped overnight in snow because they followed the advice of their brand-new GPS receiver and took a “shortcut” over a remote Forest Service trail. In each case, the hapless travelers blamed their predicaments on GPS, not on themselves. GPS manufacturers haven’t exactly helped the situation. Their user manuals tend to be simple pamphlets that don’t even explain all of the receiver’s functions, let alone show you how to do anything useful like navigate to a destination and return safely. One of the most frequent laments in online reviews of GPS receivers is the lack of quality information in their user manuals. You’d think that would worry GPS manufacturers. After all, newspaper headlines blaring, “Lost Hiker Found Dead Clutching GPS,” don’t do the industry any good. But you can’t really blame the manufacturers. GPS is used in so many different ways, from hiking in the woods to navigating aircraft to coordinating artillery strikes, that it’s not practical for a single instruction manual to cover all these uses and more.

More information at http://www.jimilab.com/

The GPS Tracking People use of triggers

The Phone GPS Tracker use of triggers and indexes to automatise data flow and speedup analyses might imply processing times that are not sustainable when large data sets are imported at once. In this case, it might be preferable to update environmental attributes and calculate indexes in a later stage to speed up the import process. In this book, we assume that in the operational environment where the database is developed, the data flow is continuous, with large but still limited data sets imported at intervals. You can compare this processing time with what is generally required to achieve the same result in a classic GIS environment based on flat files . Do not forget to consider that you can use these minutes for a coffee break, while the database does the job for you, instead of clicking here and there in your favourite GIS application!

As the trigger function is run during GPS Tracking People data import, the function only works on the records that are imported after it was created, and not on data imported previously. To see the effects, you have to add new positions or delete and reload the GPS positions stored in gps_data. You can do this by saving the records in gps_sensors in an external .csv file, and then deleting the records from the table (which also deletes the records in gps_data in a cascade effect). When you reload them, the new function will be activated by the trigger that was just defined, and the new attributes will be calculated. This chapter looks into the spatiotemporal dimension of both car tracking data sets and the dynamic environmental data that can be associated with them. Typically, these geographic layers derive from remote sensing measurements, commonly those collected by sensors deployed on earth-orbiting satellites, which can be updated on a monthly, weekly or even daily basis. The modelling potential for integrating these two levels of ecological complexity (car movement and environmental variability) is huge and comes from the possibility to investigate processes as they build up, i.e. in a full dynamic framework.

Nowadays,Electronic Tracker satellite-based remote sensing can provide dynamic global coverage of medium-resolution images that can be used to compute a large number of environmental parameters very useful to car studies. Through remote sensing, it is possible to acquire spatial time series which can then be linked to animal locations, fully exploiting the spatiotemporal nature of car tracking data. Numerous satellites and other sensor networks can now provide information on resources on a monthly, weekly or even daily basis, which can be used as explanatory variables in statistical models or to parameterise Bayesian inferences or mechanistic models. One of the most commonly used satellite-derived environmental time series is the normalised difference vegetation index but other examples include data sets on ocean primary productivity, surface temperature or salinity, all available in equally fine spatial and temporal scales , and, in North America, snow depth data at daily scales , spatial temperature and precipitation at monthly scales , and meteorological data on wind and pressure.

More information at http://www.jimilab.com/

Associated with GPS Tracking Device positions

These are several common examples of environmental information that can be associated with GPS Tracking Device positions, and others can be implemented according to specific needs. It is important to keep in mind that these spatial relationships are implicitly determined by the coordinates of the elements involved; you do not necessarily have to store these values in a table as you can compute them on the fly whenever you need. Moreover, you might need different information according to the specific study (e.g. the land cover composition in an area of 1 km around each GPS position instead of the value of the pixel where the point is located). Computing these spatial relationships on the fly can require significant time, so in some cases, it is preferable to run the query just once and permanently store the most relevant parameters for your specific study (think about what you will most likely use often). Another advantage of making the relations explicit within tables is that you can then create indexes on columns of these tables. This is not possible with on-the-fly sub-queries. Making many small queries and hence creating many tables and indexing them along the way is generally more efficient in terms of processing time than trying to do everything in a long and complex query. This is not necessarily true when the data set is small enough, as indexes are mostly efficient on large tables. Sometimes, the time necessary to write many SQL statements and the associated indexes exceed the time necessary to execute them. In that case, it might be more efficient to write a single, long and complex statement and forget about the indexes. This does not apply to the following trigger function, as all the ecological layers were well indexed at load time and it does not rely on intermediate sub-queries of those layers.

After this general introduction to the use of spatial SQL to explore spatial layers, you can now use these tools to associate environmental characteristics with GPS Tracking Devices positions. You can find a more extended introduction to spatial SQL in Obe and Hsu . The goal here is to automatically transform position data from simple points to objects holding information about the habitat and conditions where the cars were located at a certain moment in time. You will use the points to automatically extract, by the mean of an SQL trigger, this information from other ecological layers. The first step is to add the new fields of information into the main.gps_data_cars table. You will add columns for the name of the administrative unit to which the GPS position belongs, the code for the land cover it is located in, the altitude from the digital elevation model (which can then be used as the third dimension of the point), the id of the closest meteorological station and the distance to the closest road.

The GPS Tracker For Car drawback of this function is that it will slow down the import of a large set of positions at once (e.g. millions or more), but it has little impact when you manage a continuous data flow from sensors, even for a large number of sensors deployed at the same time.

More information at http://www.jimilab.com/

Rear View Mirror GPS Navigationlocations

Until a few years ago, the spatial information produced by Rearview Mirror With GPS sensors was managed and analysed using dedicated software (GIS) in file-based data formats (e.g. shapefiles). Nowadays, the most advanced approaches in data management consider the spatial component of objects (e.g. a moving car) as one of its many attributes: thus, while understanding the spatial nature of your data is essential for proper analysis, from a software perspective, spatial is (increasingly) not special. Spatial databases are the technical tools needed to implement this perspective. They integrate spatial data types (vector and raster) together with standard data types that store the objects’ other (non-spatial) associated attributes. Spatial data types can be manipulated by SQL through additional commands and functions for the spatial domain. This possibility essentially allows you to build a GIS using the existing capabilities of relational databases. Moreover, while dedicated GIS software is usually focused on analyses and data visualisation, providing a rich set of spatial operations, few are optimised for managing large spatial data sets (in particular, vector data) and complex data structures. Spatial databases, in turn, allow both advanced management and spatial operations that can be efficiently undertaken on a large set of elements. This combination of features is becoming essential, as with car movement data sets the challenge is now on the extraction of synthetic information from very large data sets rather than on the extrapolation of new information from limited data sets with complex algorithms.

you will extend your database with the spatial dimension of Rear View Mirror Navigation locations and start to familiarise yourself with spatial SQL. You will implement a system that automatically transforms coordinates from a pair of numbers into spatial objects. You are also encouraged to explore the PostGIS documentation where the long list of available tools is described. At the moment, your data are stored in the database and the GPS positions are linked to individuals. While time is correctly managed, coordinates are still just two decimal numbers (longitude and latitude) and not spatial objects. It is therefore not possible to find the distance between two points, or the length of a trajectory, or the speed and angle of the step between two locations. In this chapter, you will learn how to add a spatial extension to your database and transform the coordinates into a spatial element (i.e. a point).

It is recommended that you not store Rear View Mirror GPS Navigation position data in some projected reference system, but instead keep them as longitude/latitude WGS84. You can later project your features in any other reference system whenever needed. There are two options: they can be stored as geography data type or as geometry data type, specifying the geographic reference system by its SRID code, which in this case is 4236. The natural choice for geographic coordinates would be the geography data type because the geometry data type assumes that geographic coordinates refer to Euclidean space. In fact, if you calculate the distance between two points stored as geometry data type with SRID 4326, the result will be wrong (latitude and longitude are not planar coordinates so the Euclidean distance between two points makes little sense)

More information at http://www.jimilab.com/

A complete related to Magnetic GPS Tracker data

A car tracking data management system must include the capability to explicitly deal with the spatial component of movement data. Magnetic GPS Tracker data are sets of spatiotemporal objects (locations) that have to be properly managed. At the moment, your data are stored in the database and the GPS positions are linked to individuals. While time is correctly managed, coordinates are still just Until a few years ago, the spatial information produced by GPS sensors wasmanaged and analysed using dedicated software (GIS) in file-based data formats.

You have a complete picture of the part of the database data model related to Wireless GPS Tracking Device data. It is important to emphasise that triggers are powerful tools for automating the data flow. The drawback is that they will slow down the data import process. This note is also valid for indexes, which speed up queries but imply some additional computation during the import stage. In the case of frequent uploads (or modification) of very large data sets at once, the use of the proposed triggers could significantly decrease performance. In these cases, you can more quickly process the data in a later stage after they are imported into the database and are therefore available to users. The best approach must be identified according to the specific goals, constraints and characteristics of your application. In this guide, we use as reference the management of data coming from a set of sensors deployed on animals, transmitting data in near real time, where the import step will include just a few thousand locations at a time.

Once the values updated , you can use an SQL statement to obtain the id of the car related to each Wireless GPS Tracker For Car position. Here, an example of a query to retrieve the codes of the car and GPS sensor, the acquisition time and the coordinates (to make the query easier to read, aliases are used for the name of the tables and of the attributes. In the case of a continuous data flow, it is useful to automatise this step in order to have GPS data imported in real time into gps_data_animals. To achieve these results, you can use two powerful tools: functions and triggers. It might be convenient to store all functions and ancillary tools in a defined schema.In the framework of this guide, you do not necessarily need to create your own functions, but you must be aware of the possibility offered by these tools and be able to understand and use existing functions. Advanced users can adapt them according to their specific needs. A trigger5 is a specification that the database should automatically execute a particular function whenever a certain type of operation is performed on a particular table in the database. The trigger fires a specific function to perform some actions BEFORE or AFTER records are DELETED, UPDATED, or INSERTED in a table. The trigger function must be defined before the trigger itself is created. The trigger function must be declared as a function taking no arguments and returning type trigger. For example, when you insert a new record in a table, you can modify the values of the attributes before they are uploaded or you can update another table that should be affected by this new upload

More information at http://www.jimilab.com/

Rearview Mirror With GPS data are sets of spatiotemporal objects

A car tracking data management system must include the capability to explicitly deal with the spatial component of movement data. Rearview Mirror With GPS data are sets of spatiotemporal objects (locations) that have to be properly managed. At the moment, your data are stored in the database and the GPS positions are linked to individuals. While time is correctly managed, coordinates are still just Until a few years ago, the spatial information produced by GPS sensors wasmanaged and analysed using dedicated software (GIS) in file-based data formats.

You have a complete picture of the part of the database data model related to Rear View Mirror Navigation data. It is important to emphasise that triggers are powerful tools for automating the data flow. The drawback is that they will slow down the data import process. This note is also valid for indexes, which speed up queries but imply some additional computation during the import stage. In the case of frequent uploads (or modification) of very large data sets at once, the use of the proposed triggers could significantly decrease performance. In these cases, you can more quickly process the data in a later stage after they are imported into the database and are therefore available to users. The best approach must be identified according to the specific goals, constraints and characteristics of your application. In this guide, we use as reference the management of data coming from a set of sensors deployed on animals, transmitting data in near real time, where the import step will include just a few thousand locations at a time.

Once the values updated , you can use an SQL statement to obtain the id of the car related to each Rear View Mirror GPS Navigation position. Here, an example of a query to retrieve the codes of the car and GPS sensor, the acquisition time and the coordinates (to make the query easier to read, aliases are used for the name of the tables and of the attributes. In the case of a continuous data flow, it is useful to automatise this step in order to have GPS data imported in real time into gps_data_animals. To achieve these results, you can use two powerful tools: functions and triggers. It might be convenient to store all functions and ancillary tools in a defined schema.In the framework of this guide, you do not necessarily need to create your own functions, but you must be aware of the possibility offered by these tools and be able to understand and use existing functions. Advanced users can adapt them according to their specific needs. A trigger5 is a specification that the database should automatically execute a particular function whenever a certain type of operation is performed on a particular table in the database. The trigger fires a specific function to perform some actions BEFORE or AFTER records are DELETED, UPDATED, or INSERTED in a table. The trigger function must be defined before the trigger itself is created. The trigger function must be declared as a function taking no arguments and returning type trigger. For example, when you insert a new record in a table, you can modify the values of the attributes before they are uploaded or you can update another table that should be affected by this new upload

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If you have a 3G GPS Tracker

Phone GPS Tracker magnetic declination changes over time, and older USGS maps can have incorrect declination information printed on them. Using the wrong declination can cause all sorts of navigation problems. If your job or hobby takes you off the beaten path, you definitely need a topographic map. If you’re staying in your car, driving on paved roads, you’ll probably be fine with a planimetric map. Planimetric maps .These are the maps you’re most familiar with — you’ve just never heard the word planimetric. Planimetric maps don’t provide much information about the terrain. Lakes, rivers, and mountain pass elevations may be shown, but there isn’t any detailed land information. A classic example of a planimetric map is a state highway map or a road atlas. Planimetric maps are perfect in cities or on highways, but they’re not suited for backcountry use.

GPS Tracking People most popular topographic maps for use within the United States are made by the United States Geological Survey (USGS). These maps cover different sizes of area — the smaller the area, the greater the detail. The topo maps that show the most detail are sometimes called quad sheets or 7.5 minute maps because they map just one quadrangle (geographer-speak for a rectangular-shaped piece of land) that covers 7.5 minutes of longitude and latitude, for example, is a portion of a topographic map of The Dalles, Oregon. A compass uses degrees to tell direction. North is 0 or 360 degrees, west is 90 degrees, south is 180 degrees, and east is 270 degrees. Most topographic maps show magnetic declination — in marine and aeronautical use, the term used is variation. Compass needles point to magnetic north, but most maps are oriented to true north. Because the Earth’s magnetic field varies from place to place, magnetic north usually isn’t the same as true north; in the continental United States, the differ- ence can be as much as plus or minus 20 degrees. If you don’t account for the magnetic declination, you can wander way off-course navigating with a compass. For example, when a location has a declination of 20 degrees and you don’t account for it, your compass heading will be off by 20 degrees — over a distance, you may end up milesaway from your planned destination. The declination tells you how many degrees you need to adjust your compass: If the declination is west, you subtract the degrees from 360 to get true north; if it’s east, you add the degrees.

So, if you have a 3G GPS Tracker,These problems are solved. GPS Tracking Device is used to collect radio signals from the network of satellites orbiting the earth and use those signals to determine abundant data related to location and position, recording the detailed data directly to a GPS receiver or transmitting the information to a off-site computer server where that locational data can be accessed by a computer, mobile device or tablet with internet capabilities. Jimi electronic? supplies a full range of GPS tracking device that such as personal GPS tracker, asset GPS tracker, vehicle GPS tracker and other portable tracking device.

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Foreign keys coming from Rearview Mirror sensors

The arrows identify links between tables connected by foreign keys coming from Rearview Mirror sensors, is linked to the table gps_sensors, where all the existing GPS sensors are stored with a set of ancillary information. A foreign key creates a dependency, for example, the table gps_data cannot store data from a GPS sensor if the sensor is not included in the gps_sensors table. Note that, at this point, there is no relation between cars and the GPS data. In other words, it is impossible to retrieve positions of a given car, but only of a given collar. Moreover, you cannot distinguish between GPS positions recorded when the sensors were deployed on the cars and those that were recorded for example, in the researcher’s office before the deployment. You will see in the following chapter how to associate GPS positions with cars.

When position data are received from Wireless Rear View Mirror Camera sensors, they are not explicitly associated with any car. Linking GPS data to cars is a key step in the data management process. This can be achieved using the information on the deployments of GPS sensors on cars (when sensors started and ceased to be deployed on the cars). In the case of a continuous data flow, the transformation of GPS positions into car locations must be automated in order to have GPS data imported and processed in real-time. In the exercise for this chapter, you extend the database built in Chaps. 2 and 3 with two new tables, gps_sensors_ cars and gps_data_cars, and a set of dedicated database triggers and functions that add the necessary tools to properly manage the association of GPS positions with cars.

Sometimes raw data from Rearview Mirror Camera sensors (e.g. .txt or .csv files produced by the software that manages data acquisition on the client side) have no explicit information on the sensor code itself inside the file. In these cases, the sensor code can be usually derived from the data source (e.g. from the name of the file). When position data are received from GPS sensors, they are not explicitly associated with any car. Linking GPS data to carsis a key step in the data management process. This can be achieved using the information about the deployments of GPS sensors (tags) on cars (when sensors started and ceased to be deployed on the cars). If the acquisition time of a GPS position is recorded after the start and before the end of the deployment of the sensor on an car, the position is associated with that car. This process not only links the GPS sensor to the car that is wearing it, but also excludes the positions recorded when the sensor was not deployed on the car. In the case of a large number of sensors and cars, this process cannot be managed manually, but requires some dedicated, and possibly automated, tools. Moreover, the process of associating GPS positions and cars must be able to manage changes in the information about sensor deployment. For example, hours or even days can pass before the death of an car tagged with a GPS sensor is discovered.

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3G GPS Tracker data sets into the database

The management of time and date is more complicated than it may seem. Often, time and date are recorded and stored by the sensors as two separate elements, but the information that identifies the moment when the Electronic Tracking Device position is registered is made of the combination of the two (a so-called ‘timestamp’). Moreover, when you have a timestamp, it always refers to a specific time zone. The same moment has a different local time according to the place where you are located. If you do not specify the correct time zone, the database assumes that it is the same as the database setting (usually derived from the local computer setting). This can potentially generate ambiguities and errors. PostgreSQL offers a lot of tools to manage time and date20. We strongly suggest using the data type timestamp with time zone instead of the simpler but more prone to errors timestamp without time zone.

In the original Smart Car Tracker data file, no timestamp field is present. Although the table main. gps_data is designed to store data as they come from the sensors, it is convenient to have an additional field where date and time are combined and where the correct time zone is set (in this case UTC). To do so, you first add a field of timestamp with time zone type. Then, you fill it from the time and date fields. In a later exercise, you will see how to automatise this step using triggers. Now, the table is ready, which are data structures that improve the speed of data retrieval operations on a database table at the cost of slower writes and the use of more storage space. Database indexes work in a similar way to a book’s table of contents: you have to add an extra page and update it whenever new content is added, but then searching for specific sections will be much faster. You have to decide on which fields you create indexes for by considering what kind of query will be performed most often in the database. Here, you add indexes on the acquisition_time and the sensor_id fields, which are probably two key attributes in the retrieval of data from this table.

Before importing the 3G GPS Tracker data sets into the database, it is recommended that you examine the source data with a spreadsheet or a text editor to see what information is contained. Every GPS brand/model can produce different information, or at least organise this information in a different way, as unfortunately no consolidated standards exist yet . The idea is to import raw data (as they are when received from the sensors) into the database and then process them to transform data into information. Once you identify which attributes are stored in the original files, you can create the structure of a table with the same columns, with the correct data types.

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