Hikvision the world’s leading provider of innovative security products and solutions, announces the launch of a new generation of its signature AcuSense products, with significant updates.
“Hikvision AcuSense products were introduced in 2018, with the idea of making intelligent alarms and services available to small businesses and residential customers for the first time,” says Frank Zhang, President of International Product and Solution Center at Hikvision.
“In a nutshell, AcuSense technology enables security personnel to focus on human and vehicle events rather than insignificant objects, so they can act more efficiently which helps save time and costs, while end users can get full control of their security system anytime, from anywhere.”
Improved alarm accuracy
The latest Hikvision AcuSense devices are engineered with an upgraded deep learning algorithm, which analyses live video streams and labels them as “human,” “vehicle,” or “other events.” Those labeled as human and vehicle will trigger alarms for security staff, while other events such as rain drops, animals, or the movement of foliage, for example, will be drastically disregarded. The result is a striking reduction in false alarms – now with an accuracy approaching 98%. In this way, security personnel can focus on genuine security issues and take action. Additionally, related videos are automatically sorted by categories for easier search.
Enhanced motion detection with human / vehicle classification
Customers familiar with motion detection will appreciate the capabilities of AcuSense technology as well. Taking users’ habits into full consideration, Hikvision designed AcuSense products to integrate human and vehicle classifications with motion detection. More specifically, when motion is detected, the system analyses whether or not it is associated with a human or a vehicle, and whether an alarm should be triggered. So, when users enable the motion detection function, they can enjoy the same level of alarm accuracy afforded by Hikvision’s AcuSense technology.