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Lightweight real-time people counting model based on quantized YOLOv8n, optimized for edge devices using TensorFlow Lite.
$0.00
app details
Model Type
Object Detection & People Counting
Framework
TensorFlow Lite
Algorithm
YOLOv8 (Quantized for TFLite)
Technical Details
This unit detects people from single RGB frames and provides a live count along with average detection confidence. Designed to run on TFLite-compatible edge processors.
Available on request through SECO or integrated in Clea AI Studio
Use Cases
Industrial Safety and Surveillance
Supported IoT Devices
AI optimized hardware
Fanless embedded PCs
Modules
supported chipsets
Intel® Core™ i3
Qualcomm® Dragonwing QCS6490
Qualcomm® Dragonwing QCS5430
NXP i.MX 8M Plus
NXP i.MX 95