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.
Mass-market adoption requires value propositions that the majority of consumers care about — saving money, being more energy efficient, staying comfortable and adding convenience to their lives. There...
US healthcare starts transforming–what are the opportunities? A ‘ripple’ of a Tunstall partnership, NHS CCGs forcing disabled into care homes, and tenders posted in Scotland and Wales. From the art...
Shoppers in the US prefer to use retailers' own payment apps over services such as Apple Pay and Android Pay, a survey of consumers has revealed, possibly due to a lack of adoption from stores. The...
"Importantly, all of these services have increased their subscriber base over the past year. The top five OTT services have stayed consistent, primarily through maintaining or growing the massive user...
