People counter + balenaSense demo

This project combines balenaSense with the people counter demo from alwaysAI. It creates a grafana dashboard that shows the video stream from alwaysAI with aditional metrics.

Required hardware

Jetson Nano Developer Kit
A DC barrel jack power supply with 5.5mm OD / 2.1mm ID / 9.5mm length, center pin positive that can supply up to 5V⎓4A
A jumper to short J48
A USB Webcam or an IP camera which supplies an RTSP feed
A WiFi USB dongle

Before you start

Plug the USB webcam (unless you are using an IP camera) and the USB WiFi dongle into the Jetson Nano
Fit a jumper to J48 on the Jetson Nano board (instructions)
Flash the SD card, and you are good to go!

Usage: Visualization

To visualize statistics and a video stream:

Grafana: http://deviceLocalIP
alwaysAI: http://deviceLocalIP:5000

Note that the grafana dashboard will show both stats and the alwaysAI stream so it's better for a live demo.

Usage: Change object detection model

You can change the model that is used to perform object detection via the OBJECT_DETECTION_MODEL environment variable:

Neural Network Framework	Dataset	Model	OBJECT_DETECTION_MODEL value	Reference inference time
caffe	COCO	MobileNet SSD	mobilenet_ssd (default)	400 msec
darknet	COCO	Yolo v2 tiny	yolo_v2_tiny	60 msec
darknet	VOC0712	Yolo v2 tiny	yolo_v2_tiny_voc	70 msec
darknet	COCO	Yolo v3 tiny	yolo_v3_tiny	60 msec

Usage: Use an IP camera

You can add an RSTP feed url via the IP_CAMERA_FEED environment variable. Examples:

rtsp://192.168.1.10:88

With a video stream defined:

rtsp://192.168.1.10:88/mainVideo

Feed with authentication:

rtsp://username:password@192.168.1.10