Jetson and Nano Edge Counter (Production)

RTSP + YOLO TensorRT line-crossing counter for edge Jetson. Replaces MQTT frigate-counter on site.

Architecture

• Input: Direct LAN camera RTSP (low latency)
• Inference: YOLO11n .engine (TensorRT) on Jetson GPU
• Logic: Line crossing (ayam count, talenan closes batch) via batch_store.py
• Output: jetson_counter.db + current_batch.json
• Dashboard: Flask on port 5000

Batch lifecycle: talenan closes batch → idle until next ayam line cross (count starts at 1).

Deploy

See DEPLOY.md.

Item	Default
Install path	/opt/jetson-counter
Venv	/opt/jetson-counter/venv
DB	/opt/jetson-counter/jetson_counter.db
Dashboard	http://<jetson-ip>:5000
Cutoff	20:00

Commands

Command	Purpose
sudo systemctl status jetson-counter	Counter running?
sudo journalctl -u jetson-counter -f	Live logs
sudo systemctl restart jetson-counter	After .env change
sudo ./uninstall-services.sh	Remove services

Key env vars

Variable	Purpose
SOURCE	Direct camera RTSP URL
MODEL_PATH	.engine file path
IMGSZ / HALF	Must match engine export
CROSS_DIRECTION	rtl (default), ltr, or both
LINE_X / LINE_X_FRAC	Counting line position

Files

File	Purpose
counter_live.py	RTSP + YOLO + line crossing
batch_store.py	SQLite persistence
counter_dashboard.py	Flask UI
config.env.example	Env template
jetson-counter.service	Counter systemd unit
install-services.sh	Install + disable legacy MQTT counter

Dev stack

Lab / comparison: jetson-counter-dev/ (port 8081, separate DB).