AI Advancements in Video Analytics
Video analytics have been discussed in quite a few of our previous blog posts. Each time we mention video analytics, we emphasize ease of deployment and improved data reliability. Why?
Camera Resolution
Increased resolutions, or pixel count, allows more detail to be processed within the camera or by software that is evaluating the stream of data coming from the camera.
For example, if you intend to capture vehicle license plate information, your success begins with the camera. Today’s cameras are able to capture vehicle information as they approach. With improved sensors, the number of “pixels-on-target” allows small details, such as license plate characters, to be clearly captured and interpreted by specialized software or saved for review in the video management system.
Likewise, the same pixels-on-target theory can be used to provide positive identification of a human face at a greater distance.
Low-light Capability
Lighting has always been a challenge to capturing clear images. Today’s low-light sensors are able to provide clear images, day or night, in areas that were once too poorly lit for cameras.
Camera Hardware Processing
The processing capability of cameras has improved. Now, some cameras have multiple sensors and processors onboard. This facilitates additional image and data processing before the image is transited from the camera to software systems or recording appliances.
Camera Deployment and Analytics Setup
Many cameras now have sensors, similar to those in mobile devices, that determine x-y-z axis and GPS coordinates. This improves data reliability and decreases set-up time for analytics.
The Smarts
Modern artificial intelligence (AI) systems can review images for usable data and store it for real-time analytics or historical data. AI is implemented differently by many companies for a variety of reasons. AI can be used on security camera data to scan for known vehicles, improve retail operations by counting shopper traffic patterns, and more. Traffic management teams can even use the data coming from video surveillance cameras to improve traffic flow and decrease congestion on highways or in cities.
As AI capabilities advance alongside security camera imaging capabilities, the possibilities of smart, advanced analytics implementation will continue to increase.
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