AI-Powered Solutions for Wildlife Protection and Bio-Diversity Monitoring
Indigenously developed preventive system for real-time anomaly detection in the forest environment, harnessed by VEGA AT1051 Processor from CDAC.
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Poaching and deforestation outpace traditional surveillance
Camera traps miss what they can't see. Patrols can't cover every hectare. By the time a threat is spotted, the damage is often already done — forests need eyes and ears that never sleep.
21.76%
of India's land is forest cover — but dense forest is shrinking
Source: Forest Survey of India, ISFR 2023
110
tigers poached in a single year, out of a population of ~3,167
Source: Wildlife Protection Society of India
1,652
wildlife-crime seizures in 2024, 40% involving threatened species
Source: Wildlife Crime Control Bureau
Why traditional methods fall short
Visual Blind Spots
Camera traps and drones are easily blocked by thick canopies, undergrowth, and darkness.
Delayed Response
Understaffed foot patrols often find evidence days after an incident occurs.
High Power & Data Drain
Streaming video requires heavy bandwidth and massive batteries, which fail in off-grid environments.
What we do
Our acoustic detection pipeline — built to notice what cameras can't.
360° Omnidirectional Range
Sound cuts through dense foliage and total darkness, letting a single node secure a massive radius.
Instant Gunshot Classification
Microphones feed edge-optimized hardware that runs rapid pre-processing, then instantly classifies critical threats like gunshots.
Future-Proof Machine Learning
The architecture is scalable by design, making it easy to train and add more acoustic classes to the classifier later on.
Smart Offline Logging
Bypasses connectivity blackouts by logging heavy audio on-device while instantly sending lightweight, text-based LoRA alerts to rangers.
Why us
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360° coverage
Omnidirectional listening from a single node.
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Ultra-low power
Months of field deployment on a single charge.
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Real-time on-device
No cloud dependency, no latency.
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Made in India
Designed and built indigenously at IISc, on CDAC's VEGA processor.
Incubated & supported by
Mentored by Prof. Chetan Singh Thakur — NeuRonICS Lab, IISc
Interested? Get in touch.
Tell us about your deployment site and we'll get back within 2 working days.
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