THE CHALLENGE
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Basic CCTV with no detection capability
Existing cameras recorded but could not identify or flag leopard presence in real time.
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No automated deterrent
No mechanism existed to discourage the leopard from approaching further once spotted near the boundary.
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Worker safety at risk near boundary zones
Staff working near boundary walls or moving between buildings had no warning system for wildlife presence.
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Night detection complexity
Low light conditions near boundary walls made reliable detection challenging - with reduced visibility causing detection delays during night hours.
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Visual similarity to background
Leopard coat pattern and shading closely matches natural backgrounds and boundary wall textures - leading to occasional false positives in detection.
THE SOLUTION
We deployed a computer vision system on the existing boundary wall camera infrastructure trained specifically to detect leopards across day and night conditions - with the model accounting for low light delays and false positive reduction from background similarity. The moment a leopard is identified near the boundary, an instant alert is sent to the security team and an IP speaker is automatically activated - playing a deterrent sound to encourage the leopard to move away before it comes closer.
Flow: Live boundary camera feed -> Leopard detected -> Security team alerted -> IP speaker activated automatically -> Leopard deterred -> Incident logged with image and timestamp
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Existing boundary wall cameras integrated with AI detection layer - no new hardware required.
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Model trained to identify leopards across day and night conditions - night detection operates with slight delay due to reduced visibility but remains reliable for early warning.
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False positive reduction built into model training - leopard coat pattern differentiated from similar background textures and shading.
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Instant alert sent to the security team with location, camera ID, and image on every detection.
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IP speaker activated automatically on detection - deterrent sound played to discourage leopard from approaching further.
