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.
Several recent studies have shown that security and privacy are top of mind for consumers considering Internet of Things devices for their homes. Parks Associates back in October noted around 40 pe...
To go a step further, Apple could embrace over-the-air antennas, whose usage is still on the rise as cable subscriptions sink. (According to Parks Associates, roughly 20 percent of U.S. homes with bro...
Other barriers for increasing adoption are concerns about security and privacy. With more reports in mainstream media about smart home devices being hacked, the public awareness of this issue has incr...
The small, candle-shaped speaker equipped with the artificial-intelligence personal helper Google Assistant, has sold about 300,000 units since hitting the market in October, according to research and...
