Case Studycomputer visionmmwave radarvirtual fencingembedded iot
Virtual Fencing System Reduces Human–Wildlife Conflict
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6.9
Researchers in Kenya designed and implemented an IoT- and machine learning–based virtual fencing system to mitigate human–wildlife conflict, integrating YOLOv11 on a Raspberry Pi 5, RD-03D mmWave radar, NEO-6M GPS and SIM800L GSM for alerts. The model classified giraffes with 70–90% confidence and the system sends SMS location alerts, offering a low-cost, scalable alternative to physical fences for conservancy-adjacent communities.
Scoring Rationale
Practical, reproducible IoT–ML prototype demonstrates clear utility; limited by localized proof-of-concept scope and shallow evaluation.
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