Video analytics applications employ artificial intelligence to detect and identify persons, objects, animals, packages, license plates and other subjects of interest visible in video camera feeds. Video analytics can also be fused with other contextual sensor data to validate the meaning and intent of the video subject, a critical issue in security use cases.
Advances in enterprise video analytics are trickling down to consumer applications as chip, sensor and Cloud computing costs become more affordable, but these are still early days with relatively simple applications.
Video processing can occur at the edge device, on an edge or on-premises server, in the Cloud, or a hybrid combination. Consumers are willing to pay for video verification as well. Parks Associates data finds that 50% of current subscribers will purchase add-on video verification for $10 per month.
From the article "AI, Sensors and Video Surveillance Verification: Home Security Innovations You Need to Know" by Dina Abdelrazik.
“These new mesh network routers are seeking to address several key areas of concern for home networking infrastructure; namely performance, coverage, aesthetics, and security,” says Brad Russell, and...
People living in only 1 in 10 homes with broadband are “very interested” in connected health services, like a personal health coach, a remote health monitoring app that connects to and notifies a heal...
Last August, market analysts at Parks Associates found that more than any other streaming media device -- including those from Amazon, Apple, and Google -- Roku was the leading brand and had increased...
Unnamed sources tell Bloomberg that the new Apple TV will be equipped with a faster processor capable of streaming higher-resolution content. A new version of the recently-launched TV app is also said...
