Video Alarm with AI support
Safestar automates and accelerates the processing of video alarms generated by AI video analytics and alarm panels.
Overview
Safestar AI optimizes the processing of video alarms generated by AI analytics. Its two-stage analysis process enables rapid and accurate event verification, ensuring efficiency before escalation to an operator.
Until recently, the effectiveness of AI in cameras and recorders significantly reduced the need for human involvement in facility protection, a development widely appreciated.
However, much of the workload has shifted to monitoring center operators, who now face an overwhelming number of alarms generated by AI—most of which are false positives.
The growing pressure to lower the costs of remote video surveillance services, combined with rising infrastructure expenses and the demand for more qualified personnel, has intensified the search for more efficient and effective solutions to deliver these services.
Two stages of AI analytics for better efficiency.
The Initial Stage of AI Analytics
In the initial stage, upon receiving an alarm, Safestar promptly and automatically connects to and verifies the live video stream. The system then analyzes the footage to identify intruders or other specific objects of interest. If potential threats are detected, the event is immediately escalated for operator intervention. If no threats are identified, Safestar proceeds to the second stage of analytics.
The second stage of AI analytics
In the second stage, Safestar AI analyzes the pre-alarm video, which is a short video recorded in the NVR just before the alarm is triggered, to identify the cause of the alarm. If a genuine threat is detected, the event is escalated to the operator for further action. Conversely, if the AI does not recognize any relevant objects, the event is logged and automatically marked as resolved.
How does it work?
What is the pre-alarm recording?
Pre-alarms are video recordings captured by recorders that encompass several seconds both before and immediately after an alarm is triggered.
This feature is designed to facilitate a comprehensive verification of the circumstances surrounding the alarm activation, providing operators with critical context for the event. The video recorder continuously records footage from cameras. When an alarm is detected, Safestar retrieves and downloads a specific segment of the recording for analysis. Typically, a pre-alarm video consists of approximately 20 seconds of footage.
Benefits of management video alarms in Safestar AI
Precise threat detection
The system reliably identifies potential threats by combining local video analytics with Safestar AI algorithms, thereby minimizing the occurrence of false alarms. Events are analyzed in real-time by the AI, and alarms are escalated for further action only when the confidence level of threat detection exceeds a specified threshold.
Automatic verification
Video pre-alarms are automatically downloaded and analyzed by Safestar AI, enabling operators to focus on more critical incidents by avoiding involvement in less significant events. The operator is only notified to intervene when the AI confirms the presence of a threat. This process enhances system efficiency and optimizes staff time.
Optimized response
Operators have immediate access to both photo and video footage from the moment the event occurs, enabling rapid verification and an adequate response. This capability greatly enhances response times to genuine threats while minimizing the risk of incorrect interventions.
Video event recording
Safestar automatically records the video stream monitored by AI or the operator during event processing. This enhances the quality of services provided and enables efficient resolution of complaints related to monitoring services reported by end customers.
Video material storage
Safestar automatically records the video stream monitored by AI or the operator during event processing. This enhances the quality of services provided and enables efficient resolution of complaints related to monitoring services reported by end customers.