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. 

Next: Parks Associates explains the benefits that will be realized in full once there is an alignment of AI-enabled hardware, system software and intelligent call center services.
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