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.
While home speakers, as well as the use of AI assistants on smartphones and tablets, figure centrally into the voice shopping market, there is also great potential in the automobile market. A study by...
Raj then moved on to talk more specifically about voice search. He referenced research from ComScore last year which stated that by 2020, 50% of searches will be conducted via voice. Further research...
“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...
Millennials will represent the largest group of shoppers when it comes to Smart Home and consumer electronics purchases this holiday season, with 46 percent of younger consumers indicating “high inten...
