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.
Fortunately for pay-television providers, Kelling is not alone in what the industry calls “over-the-top” video consumption. According to the market research firm Parks Associates, 81 percent of U.S. h...
In fact, since 2013, the percentage of broadband households in the nation using only antennas to watch linear TV has jumped from 9 percent to 15 percent, according to data released this month by Parks...
It’s nearly impossible to find a household today that doesn’t have at least one connected smart home device installed. From video doorbells to robot vacuums, automated lighting, and voice assistants,...
“Apple has been enormously successful with its technology and brand power among consumers, so Apple’s entry into the healthcare industry is at least beneficial in raising consumer awareness of excitin...
