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.
The consumer demand for mobile streaming isn’t lacking either. Among U.S. households, more than half want their next car to offer Wi-Fi, according to Jennifer Kent, connected car analyst for Parks Ass...
A recent study from Parks Associates found that 63% of people in the US are not familiar with and know very little or nothing about virtual reality. With such low levels of awareness amongst people in...
In the last 12 months about 19% of US broadband households or about one in 5 households have cancelled a OTT service like Netflix. At the end of 2015, 20% of U.S. broadband households had cancelled at...
Mobile payments are still an up-and-coming new capability for consumers; while mobile banking has clearly led the way, there’s still a lot of interest in mobile payments at least in some fields. Wh...
