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.
If you're just getting started with free, over-the-air TV, you're in good company. Even many consumers who have switched to streaming video services, such as DirecTV Now or Sling TV, use an antenna fo...
Automated smart home systems are a growing trend among mainstream consumers; in fact, according to Parks Associates, 48 percent of U.S. broadband households intend to buy at least one smart home devic...
Almost unheard of as recently as five years ago, smart speakers are on their way to becoming as ubiquitous as the microwave. As of early 2019, a third of U.S. homes with high-speed internet access had...
For consumers, Amazon owning Eero could make it easier to set up and manage the wide range of wireless devices in their homes. “A number of companies have been trying to address a very real pain po...
