CASE STUDY: KALPVAIG INTELLIGENCE
Solar-Powered Edge-AI for Real-Time Wildlife Monitoring
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



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.
The Results
100%
Solar-Powered Autonomy
<2s
Real-Time Alert Latency
95%
Accurate Wildlife Identification
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.
CHRISTIAN KREMSER
ART DIRECTOR
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