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.
More than 60% of installing dealers now report that DIY systems are biting into demand for their services, according to the fifth annual Residential Security Market Report (2018) from the research fir...
It takes a lot of time and money to acquire a customer, so once you have them, you better keep them. How can you do that if you only talk to them when they have a problem? Consumer engagement was a...
Parks Associates research reveals that U.S. broadband households have an average of 13 connected devices in their home ranging from computing to smart home devices to smart appliances to entertainment...
A recent study by Parks Associates, a technology-based marketing and research company, finds that 44% of US broadband households own speakers, 37% own headphones bought separately from a phone or musi...
