Gyrus AI

Gyrus AI develops application specific Artificial Intelligence & Machine Learning models and frameworks.

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Gyrus AI Camera based analytics - With the advancement of vision algorithms, cameras and the associated AI hardware provide a lot of insights about the environment. Even more, Object detection, face recognition, sentiment analysis, demographic classification algorithms matured and are being used in real-life deployments. 

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LIME - Local Interpretable Model-agnostic Explanations - an algorithm that can explain the predictions of any classifier or regressor in a faithful way, by approximating it locally with an interpretable model. #ArtificialIntelligence #MachineLearning #data #tech #AI  #analytics

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Gyrus AI uses an #AI powered #data #analytics model that helps the #industrial #manufacturing  sector in reducing downtime, better design, improve efficiency, increase productivity, better product quality, and the safety of employees. #iot #code #tech #IIoT #MachineLearning

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Gyrus AI’s video analytics-based inventory management model.This model can be implemented on a live feed from the surveillance camera's and results can be integrated with Point of Sale for real-time updates on the stock. #smartretail #inventory #videoanalytics 

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Reduce cost and Monetize Video Streaming with AI/ML

The massive amount of data streaming presents challenges to broadcasters, content distribution networks, such as buffering issues, low resolution, poor quality, high operating cost, monetization, etc. Gyrus AI/ML Models helps to overcome these challenges by providing the highest possible quality of experience and quality of service. 

AI/ML models can enable broadcasters and content providers to unearth opportunities to reduce streaming costs, enhance the viewer quality of experience, and improve viewer engagement using smart advertisement & video analytics by using AI/ML models throughout the media workflow. 

Video Streaming Solution using Artificial intelligence: 

Streaming Cost Optimization

Dynamic Advertisements

Automatic video synthesis for smart advertisement

Compliance to regulatory warnings 

We are just at the beginning of the applications of AI to video streaming. Identifying objects, recognizing faces, inserting customized advertisements, complying with regulatory warnings, generating subtitles at high speeds, transmitting the video intelligently at low bandwidth and lower costs are a few of the tasks that can be managed by AI engines very effectively. AI and deep neural network-based enhancements will dramatically improve user Quality of experience and alter video consumption forever. AI solutions will soon become a widespread standard and will continue to redefine the streaming media ecosystem with emerging innovations.

Reference: https://gyrus.ai/

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Artificial Intelligence and machine Learning for Broadcast / Video Streaming

Learn how AI/ML models performed in video streaming devices to enhance the TV user experience in aspects of video quality, super-resolution, voice controls, ...

Learn how AI/ML models performed in video streaming devices to enhance the TV user experience in aspects of video quality, super-resolution, voice controls, noise reduction, Anonymized Person Detection, Automatic scene detection, Integrated Home Assistant in TV, many more. 

https://gyrus.ai/

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Artificial Intelligence influence in video streaming / broadcast sectors

Gyrus AI leverages AI, ML & Neural Network to solve video streaming challenges such as poor video quality, low resolutions, buffering issues, high CDN operating cost, etc, by providing the highest possible quality of experience and quality of service.

Gyrus AI leverages expertise in AI & ML to develop customized models for most demanding applications in the video processing domain. The video processing AI/ML models can be deployed either on-premises broadcasting/streaming devices or in cloud-based streaming platforms. The AI models can also be customized and ported to various end devices. Gyrus AI’s video processing models are independent of encoder specs. The Video processing AI models help to reduce complex work on the compression side and improve quality by applying adaptive filtering at a decoded picture. This will help to enhance video quality and thus provide quality of experience and quality of service. . Gyrus ML engines can be deployed on the server-side to provide optimal trans coding parameters and to reduce CDN operating costs. 

Solutions includes 

1. Automatic scene detection 

2. enhanced viewer quality of experience

3. Super resolution

4. Automatic video synthesis

5. streaming cost optimization

6. compliance to regulatory warnings 

reference: https://gyrus.ai/