Video systems take images at a certain frequency (typically 24 fps) which are stored and watched traditionally by human eyes. With the advent of IP cameras, deep learning and machine learning as well as stability and security of networks, the way to process images has adopted artificial intelligence and neuronal networks.
Instead of training computers to look for whiskers, tails and pointy ears to recognize a cat, programmers upload millions of photos of cats, and then the model learns on its own the different features that make up a cat.
Video Analytics is used across industries to enhance the consumer experience, reduce costs and increase security.
Video Analytics enables to evolve from recognizing faces in a corridor to processing the live action of a football game.
Video systems have evolved from image capture to rich metadata production.
The combination of analytics and systems have generated the Computer Vision solutions that evolve along 4 megatrends:
1. Artificial Intelligence and data analytics
2. Enabling remote operations
3. Protect Privacy and respect GDPR
4. Exchange and monetize computer vision extracted data
CCTV becomes Computer Vision
Video systems take images at a certain frequency (typically 24 fps) which are stored and watched traditionally by human eyes. With the advent of IP cameras, deep learning and machine learning as well as stability and security of networks, the way to process images has adopted artificial intelligence and neuronal networks.
Instead of training computers to look for whiskers, tails and pointy ears to recognize a cat, programmers upload millions of photos of cats, and then the model learns on its own the different features that make up a cat.
Video Analytics is used across industries to enhance the consumer experience, reduce costs and increase security.
Video Analytics enables to evolve from recognizing faces in a corridor to processing the live action of a football game.
Video systems have evolved from image capture to rich metadata production.
The combination of analytics and systems have generated the Computer Vision solutions that evolve along 4 megatrends:
1. Artificial Intelligence and data analytics
2. Enabling remote operations
3. Protect Privacy and respect GDPR
4. Exchange and monetize computer vision extracted data
Artificial Intelligence based Video Analytics
AI software can analyse images and audio from video surveillance live strams and recordings.
It can use image regognition algorithms and recognize faces, objects, events, movements and more.
AI software can combine several sources of information like smartphones and CCTV.
Enabling remote operations
Extreme environments or sites in unpopulated areas can now be monitored from a remote station.
New technology in IoT cameras, in-site edge computing device, industriel rugged remote surveillance NVR’s, and built-in mobile broadband capabilities, can make this happen.
Cyber security and privacy protection
The risks to migrate are essentially:
› Put people’s privacy at risk.
› Destroy valuable video content, such as experience.
› Sell or transfer unduly video content.
› Use vulnerable video cameras as backdoors for cyber threats.
Sell, Buy, Share data : exchange and monetize
With data analytics, anonymisation predictive features, producing metadata and combining several types of data open the way to rich data being potentially valuable internally or externally.
Artificial Intelligence based Video Analytics
AI software can analyse images and audio from video surveillance live strams and recordings.
It can use image regognition algorithms and recognize faces, objects, events, movements and more.
AI software can combine several sources of information like smartphones and CCTV.
Enabling remote operations
Extreme environments or sites in unpopulated areas can now be monitored from a remote station.
New technology in IoT cameras, in-site edge computing device, industriel rugged remote surveillance NVR’s, and built-in mobile broadband capabilities, can make this happen.
Cyber security and privacy protection
The risks to migrate are essentially:
› Put people’s privacy at risk.
› Destroy valuable video content, such as experience.
› Sell or transfer unduly video content.
› Use vulnerable video cameras as backdoors for cyber threats.
Sell, Buy, Share data : exchange and monetize
With data analytics, anonymisation predictive features, producing metadata and combining several types of data open the way to rich data being potentially valuable internally or externally.
digital identity is an e-service enabler if handled well
The lifecycle of identity is at the crossroadof legal, economic and technical security.
Data based service models
require to understand the data value chain
All innovators and seekers of new data-driven services are searching for ideas that have 4 characteristics.
digital identity is an e-service enabler if handled well
The lifecycle of identity is at the crossroadof legal, economic and technical security.
