More than Just Security Incident Investigation..

IP video surveillance is a high-growth area of our business sector, as more operations decide to deploy camera systems.  More than just security incident investigation, modern IP video systems are used to: 

Provide safer work environments: monitor worker safety and health screening.

Improve business efficiencies: check work and production flows, and monitor worker process.

Provide business analytic data:  people counting and heat maps

Video verification: verify site alarm conditions before dispatch

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Industry Trend: Video Analytics and AI

As AI becomes more broadly adopted across industries, it is likely to be more widely incorporated in video surveillance in the upcoming year. Edge-based AI (which filters and processes data locally on a camera) will be more ubiquitous, enabling end-to-end AI technology. Today, most security cameras send the data they collect to servers to be analyzed. However, with edge-based AI, the data is analyzed by the camera first, and subsequently sent to the server. This reduces the burden of transferring and storing large amounts of data to a server, thereby increasing efficiency, saving time, and reducing server costs typically required to analyze data.  AI Benefits:

Reduce False Alarms: As the number of surveillance cameras grows along with the cities, an operator may be presented with too much information to handle, as conventional cameras equipped with motion-based detection generate too many event alarms. With operators under great strain to verify each one, there could be delays in response times. Now, AI algorithms built into Wisenet P series AI cameras are able to dramatically help improve operator efficiency.

Classify Target Objects: Wisenet P series AI cameras differentiates what it sees into broad categories such as ‘Person’, ‘Face’, ‘Vehicle’ and ‘license plate’. Delving deeper, Wisenet AI algorithms are quickly and accurately able to identify the different attributes of the objects within the camera’s field of view. For example, the camera sees a person and immediately detects the color of clothing. It is also intelligent enough to distinguish whether the person is wearing glasses or holding a bag. These attributes are then saved as metadata alongside the captured footage.

Monitor Occupancy: Wisenet Occupancy Monitoring Application combines Wisenet P series AI camera with people counting, an edge-based AI video analytics, to precisely monitor the occupancy level.

Face Mask Detection: The attribute classification function of Wisenet P series AI cameras enables quick and accurate detection of the objects with or without face mask and immediately sends out alert.

Social Distancing Detection: The Wisenet P series AI cameras’ edge-based AI video analytics help operators monitor the proximity of people in public spaces. They detect distancing violations (violations of preset distance) and trigger an instant event alert on connected NVR/VMS.