Theft Detection
Prevent losses before they happen using computer vision.
Prevent losses before they happen using computer vision.
Unauthorized access and theft lead to hefty financial and operational losses. Continuous monitoring of the premises or specific regions through AI-driven theft detection systems can identify suspicious activities on time. It alerts the security teams for proactive security measures.
Traditional surveillance involves humans monitoring screens, which can lead to missed critical events or suspicious behavior.
Trained AI system can identify unusual movements, unauthorized access and theft patterns in real time.
Generally, security teams receive alerts too late, which leads to loss before action can be taken.
Get immediate alerts on devices in case of any incident or suspicion for swift action and intervention.
Shoplifters and internal threats often use tactics like hiding items, swapping labels or avoiding detection zones.
Our system can detect concealed items, unusual hand movement and suspicious behavior and alerts the security.
Outdated motion-based security systems can trigger unnecessary alerts, causing operational disturbances.
Get only relevant alerts as AI computer vision can differentiate between genuine threats and false alarms.
Almost all businesses ensure optimum security to avoid thefts. But some businesses are more prone to thefts and find this use case more beneficial.
Theft detection system is connected to the existing camera network for seamless implementation.
The model is trained to recognize theft patterns, unauthorized access and suspicious behavior.
We activate real-time AI surveillance with instant alerts and insights to act.
Refine detection capabilities using AI-driven analytics and improve security measures.
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