CASE STUDY: KALPVAIG INTELLIGENCE

Solar-Powered Edge-AI for Real-Time Wildlife Monitoring

A floating smartphone over a dark charcoal fabric background with harsh sunlight. The screen shows a thermal camera feed of a bright orange leopard with a glowing cyan bounding box.

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The Challenge

Wildlife monitoring in remote terrains is often crippled by poor connectivity and limited power infrastructure. For Kalpvaig, the challenge was deploying a 24/7 surveillance network that could operate in off-grid environments, detecting elusive predators like leopards in real-time without the latency of cloud-based processing.

The Vision

To create a self-sustaining “Guardian at the Edge.” Our mission for Kalpvaig was to develop a hardware-software ecosystem that utilizes low-power IoT and object detection to identify wildlife threats. By moving the AI models directly onto solar-powered edge devices, we ensured near-instantaneous alerts to local forest authorities.

Hardware-Software Synergy

We replaced passive trail cameras with active, intelligent sensors. By integrating thermal imaging with YOLO-based object detection, the system filters out environmental noise—like moving vegetation or shadows—to focus strictly on high-priority wildlife signatures, ensuring 99.9% uptime in extreme weather conditions.

The Platform Interface

The same tablet setup displaying a technical dashboard of solar power metrics, battery levels, and active status for 15 distributed IoT sensor nodes.
The same tablet setup showing a glassmorphism UI with thermal heatmaps of nocturnal animal movements and temperature fluctuation graphs.
A space grey tablet on a white desk next to a coffee mug. The screen displays a grid of live forest camera feeds, with one feed identifying a leopard with a 98% confidence score.

Adapted For Phones

Field officers require instant accessibility. We engineered a high-alert mobile interface that provides push notifications for predator detection. The mobile pipeline handles compressed thermal frames, allowing forest rangers to view live identification metrics even on low-bandwidth rural networks.

Three overlapping space grey iPhones on charcoal fabric. The screens show a "Leopard Detected" red alert, a thermal video clip, and a GPS map of the sensor location.

The Results

95%

Accurate Wildlife Identification

 

<2s

Real-Time Alert Latency

 

100%

Solar-Powered Autonomy

 

5.0

What Our Client Said

Techelix transformed our wildlife conservation strategy from reactive to proactive. The solar-powered AI nodes they engineered are robust, accurate, and truly autonomous. We now have a real-time 'digital eyes' system that protects both local communities and the ecosystem's most elusive predators.

SANDEEP KUMAR

FOUNDER, KALPVAIG

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