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Linking Meta smart glasses to a face search engine can ID strangers in a glance
Face Recognition Based Attendance - Asti Infotech
Facial recognition systems need a database or a pre-recorded data set to compare captured images and identify faces. A complete high-end configuration unit is installed in the institute and the data capturing process is initiated. The camera mounted with the machine captures and processes the images of students with various angles and qualities along with the basic identification details for further processing.The Image is processed in this way to take care of image quality & other factors.
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Face Recognition Vs Face Detection; What’s The Major Difference
People often confuse facial recognition with facial detection because they believe both are the same. Of course, they are connected but not the same.
Face recognition is a non-invasive identification system that is faster than other systems since it can analyze multiple faces simultaneously. The difference between facial identifier and facial detection is that facial detection involves identifying a face from an image and locating the face. Facial identifier makes the decision, "whose face is it?" Let's look deeper into the differences.
What is facial detection?
Each face has several distinct features and landmarks like curves on the face, the distance between the eyes, presentation of the nose, the form of the cheekbone, depth of the eye, and length of the jawline. Facial detection reads any of the marks to detect a face. For specific applications like smile detection, jawline, and cheekbone detection, are utilized.
Almost all face detection systems detect the eye first, which is easy to detect, and then it reads the other landmarks to confirm that it is a face.
Applications of facial detection
Facial detection is part of facial recognition used in surveillance systems. Apart, it has a standalone application in autofocusing in digital cameras and smartphones. It can also detect smiling faces, blinking eyes, and waving to the camera, signaling that it is ready to take pictures.
Advantages of facial detection
· Automated identification. In the past, identification was done manually by humans, which could be inaccurate and inefficient.
· Face detection is easy to integrate and is compatible with any security and surveillance application.
What is Facial recognition?
Face recognition technology is used to automatically identify a person from a digital image or video. Its main applications are in security, civil ID, authentication systems, etc. Facial identifier detects a face and compares it with the already stored faces in the database. For example, facial identifier in your phone compares with only one image stored in the phone, while surveillance systems compare it with a large database of millions of samples.
Advantage of facial recognition
· It's both practical and socially acceptable. All you need is a photo of yourself to make it work.
· Face recognition is simple to utilize, and it has often done without a person's knowledge.
· Face recognition is also one of the most cost-effective biometrics available, and the price expects to continue to fall.
· Improved Security
· High Accuracy
· Fully Automated
Difference between Facial Identifier and Facial Detection?
Facial detection refers to a system that can merely detect the existence of a human face, whereas facial identifier refers to a system that can identify several human faces. Facial recognition security goes a step further by recognizing and identifying the observed face based on a database match. Facial detection is used in the simple application of detection, while recognition finds usage for complex and large-scale applications of recognition.
Endnote
People who used to believe facial identifier and face detection were the same must have changed their minds now. Both are interlinked but different in application. Facial detection and recognition have become common features in many software and web applications. Mxface offers a state-of-the-art facial recognition and detection system.
Everyday Things That Completely Replaced By Facial Recognition Technology
Technology brought many changes in our daily life. It influences everything from what we do every day and what we eat to shaping the economy and our future. Facial recognition technology is cutting-edge as well as evolving rapidly to the changing scenarios and reaching very close to everyday life. There are things in which facial recognition is replacing traditional methods to ease and speed up processes. Let's see some applications where face recognition is getting adapted.
1. Password
All mainstream smartphone manufacturers now offer facial recognition locks in their products. People may utilize face authentication on laptops by leveraging the Windows Hello biologin feature, available on Windows 7 and beyond. The feature will allow people to lock their devices and authenticate web applications, online services, social media apps, and documents. It also enables businesses to use biologin for employees and attendance tracking.
2.ATM security
Still, many developing countries deploy security guards in front of ATMs and ordinary CCTV cameras to ensure security. But many banks across the globe started using facial recognition cameras to identify culprits who do malpractices at ATMs. Advanced system designs can track people who committed malpractices in ATMs and deny them access to the machine or inform the police.
3. Payment services
Biometric authentication is not new for online and offline payment services. Instead of PINs, ATMs use facial recognition to identify customers, and PINs can also use as multi-factor authentication to improve security.
Digital payment services are using face recognition to authenticate customers for transactions. Only a look at a facial recognition security camera is enough to pay the bills.
4. Keys
Anybody can use keys to expensive cars, doors, and lockers if they have them. But things are changing, with facial recognition replacing the keys. People just have to look into the car doors and entrance doors to open them. People can customize the lock by authorizing their family with the locks, so that they may also enter the house, use the car, and parking area.
5. Tickets
Countries across the world are promoting paperless travel. In order to achieve that, facial recognition technology is being deployed at railway stations and airports. Instead of providing a piece of a paper ticket, the ticket officer will take a picture of the passenger's face and provide access to the gate system. Similarly, at airports, boarding passes are being replaced by facial recognition. Passengers' faces are the tickets and boarding passes.
6. Security guards
Home security is of paramount importance for every country. In daily life, we see a lot of police and security workers trying hard to secure the roads, airports, bus stations, rail stations, and all other public places. Facial recognition cameras are installed at public places, replacing the security guards and doing the job of finding criminals, missing people, dropped objects, drivers without a license, fining for trespassing or illegal activities in public places, and unauthorized entries.
Conclusion
Facial recognition technology has reached every lifestyle device and service. The future is of biometrics and facial recognition that allows contactless and seamless authentication methods.
Facial recognition attendance system for educational institutes
To determine a student's performance, all educational institutions need them to keep track of their attendance. Student attendance is manually taken at most universities using attendance sheets provided by department heads as part of the regulation. This practice is inconvenient, time-consuming, and inaccurate since some pupils speak for their missing classmates. In a big classroom, this strategy also makes it difficult to keep track of an individual student's attendance.
In this scenario, institutions across the world have started using the facial recognition attendance system for attendance monitoring.
How does facial recognition work?
This biometric system will begin with an enrollment phase in which the unique characteristics of a person's face are kept in a database. This data uses for the following identification and verification stages. During the authentication process, the detected face in a photo (obtained from the camera) will be compared to previously recorded faces collected during registration.
This facial recognition attendance system will detect both students and staff, which makes it more comprehensive. Institutions do not need to implement a separate attendance system for students and staff. The system will automatically detect who is a student and who is staff and mark their attendance accordingly.
Why face recognition methods?
Face recognition was chosen because of its non-intrusiveness and familiarity, as people recall other people mostly based on their visual characteristics. Traditional biometric authentication methods such as fingerprints, iris scans, and voice recognition are useful, but they aren't always the ideal option depending on the situation. Such approaches would fail in applications such as surveillance and monitoring of public locations, for example, since they are time-consuming and inefficient, especially in circumstances involving a large number of individuals. Implementation costs are also a stumbling block, as some components must be acquired frequently. As a result, the system's installation would be costly. We can't expect everyone to line up and place a finger on a slide, an eye in front of a camera, or something similar. As a result, the intuitive requirement for a low-cost, transportable technology is quite similar to the human eye's ability to recognize a person.
Benefits of facial recognition attendance tracking
Save time
Saving time is important for educational institutes. Teachers don't have to waste time taking attendance, it will automatically be registered in the system when students show their faces.
Touchless
COVID-19 can be better controlled if physical contact is avoided in public areas and at work. There has been a huge surge in demand for contactless technology during these difficult times. The industry has recognized the benefits of facial recognition and the adoption of attendance systems. Since schools in the lower sections are about to begin regular classes, it is preferable to take the contactless initiative to keep the school environment free of pathogens.
Cost-effective
Facial recognition attendance tracking can reduce the cost of maintaining and updating attendance registers. It also reduces the need for extra employee time required to maintain it.
Flexible for online classes
Facial recognition API like Mxface offers usability across different platforms. It can be used with video chatting applications so that the attendance of pupils present in video chat will automatically be registered.
Conclusion
A facial recognition attendance system is a must for every educational institution facing challenges due to the pandemic. However, it has wider applications after the pandemic as well. It is preferable to not be late in using cutting-edge technologies nowadays.
Misconceptions about facial recognition technology
Ever since facial recognition technology became mainstream, there have been a lot of misconceptions and allegations against it. Honestly, some of them are true when the technology is in the wrong hands, like all other technology. However, arguing for a ban on technology stems from unawareness and misconceptions about the actual technology. Here are some of the most popular misconceptions about technology.
Hackers can track you with your facial ID.
It is a false conception that hackers can track you if they get your facial ID. Actually, it is less hackable than other types of IDs. Every identification system converts facial ID into a numerical code. This code won't be the same for other systems, since each facial recognition system has its own proprietary way of storing this data. So hackers can't really predict the face with the face ID. Whenever a man appears before a camera that recognises face, the system creates a facial ID and compares it with the facial IDs in the database.
Beside, everybody's face ID is public now on social media, which hackers can acquire easily. This is why we need a develop law that includes strict regulations around how and when you can add somebody to a faces to a system.
All face detection systems are the same.
Each system is different in how they create facial IDs and how they store the templates. Finding the right recognition system is very simple by determining how a face detecting system protects the rights and privacy of individuals. The accuracy and speed of the biometric system also vary. Some vendors earn money by selling data to third parties. Providers of good biometrics technology have established usage policies, built accurate algorithms with little bias, and adhered to privacy by design principles.
It can track anyone.
It is one of the popular controversies with face recognition systems. But, it can only track you or perform surveillance if your ID is in its database. If you have not opted to register your face with a company employee tracking system or you are on any system on a watchlist, then the system cannot track you.
Apart from this, tracking missing people with facial ID is one of the important applications of facial detection. This "watchlist" strategy can improve security at airports, schools, and other sites by identifying people of concern for that location right away. Using facial cameras to detect known threats is far more efficient and accurate than depending only on manual surveillance by security officers at each entry 24 hours a day, seven days a week.
Miss recognition may wrongly convict people.
Face recognition is one of the most useful tools for law enforcement agencies, but that doesn't mean it is the last word. Every matching and finding from the system is overlooked manually by humans. Even if an agency finds an exact match for a person in an exact scenario, the agencies have to verify him with other biometric characteristics. Usually, agencies collect ten fingerprints using slap scanners and the iris of culprits before allowing them into jails. So there is less possibility of misidentifying a person as a criminal.
Facial biometrics exhibits racial bias.
In the real world, the face detection camera can actually reduce facial bias. Police officers or agents are humans, so they can be biased about a person's color, ethnicity, and appearance, but not with facial APIs. A facial API will only show a person who is the real culprit.
To detect a person, the system may describe a person's color and ethnicity. Actually, it is a different case. How will you describe a person to someone else? With his physical appearance, right? That is only what the facial recognition system is also doing.
Trustwave says its tool to search social networks by name and face can aid security penetration tests, but it might lead to privacy violations.
Now searching for a face for Rook... this could be a challenge. If anyone here knows of a very tall black male model, who is androgynous and skinny... let me know, will you?
