areyasouka/raspberrypi-detect-upload

Use Raspberry Pi camera to detect objects and upload results

Raspberry Pi Camera Detect Objects and Upload Results

Periodically detect objects in Raspberry Pi camera image and upload JSON results to Firebase Firestore.

Use Cases

• check parking lot occupancy and update Firestore for Firebase website to show parking availability
• notify when people are detected
• count cars or people over time with Firestore timeseries queries

Usage

libcamera-still -r -t 1 -o input/picture.jpg
python detect.py -i input/picture.jpg -m yolov8n.pt -o output/results.json -oi output/results.jpg
python firestoreupload.py --credentials=credentials.json --file=output/results.json --collection=DetectedObjects

Dependencies

• Raspberry Pi, Camera, Raspberry Pi OS Lite
• https://github.com/ultralytics/ultralytics

Update Raspberry Pi and Install Dependencies

ssh $USER@pi.local

sudo apt -y update
sudo apt -y full-upgrade

# "detect.py" dependencies
sudo apt -y install python3-pip
sudo pip install ultralytics
# for ImportError: libGL.so.1: cannot open shared object file: No such file or directory:
sudo pip install opencv-python-headless
# debian requires sep build for libcamera-apps https://www.raspberrypi.com/documentation/computers/camera_software.html#building-libcamera-apps

# "firestoreupload.py" dependencies
pip install firebase-admin

# add samba share (optional) 
sudo apt -y install samba samba-common-bin
sudo mkdir -m 1777 /shared
sudo cat <<EOF >> /etc/samba/smb.conf
[pishare]
path = /shared
writeable = yes
browseable = yes
create mask = 0777
directory mask = 0777
public = no
EOF
sudo smbpasswd -a $USER
# windows: \\PI\pishare

Check Install

python -c "from ultralytics import YOLO; print(YOLO('yolov8m.pt'))"
python -c "import cv2; print(cv2.__version__)"

Todo

• add cronjob or loop to periodically update
• add web example