Welcome to the era of edge computing with free failure detection performed directly on your Pi
| Device (50% of All Cores for AI) | Inference Speed (images / minute) |
|---|---|
| Raspberry Pi 5 | 45 |
| Raspberry Pi 4 | 9 |
| Raspberry Pi 3B | 5 |
| PC with Intel i5 10600 | 260 |
| OrangePi Zero 2/3 | 9 |
| Raspberry Pi Zero 2 W | 3 |
Unlock advanced 3D printing monitoring with PiNozCam, your go-to solution for AI-powered surveillance — all without any subscription or registration. PiNozCam brings cutting-edge computing to your Raspberry Pi or any old PC/single board computer, ensuring privacy and providing instant failure alerts via Telegram/Discord.
Features include:
- Fast Inference on Pi Arm CPU/Local Device, 24/7 AI service
- Instant Telegram/Discord Error Notifications
- Privacy-first approach with RAM-only data storage
- No email register/sign up/subscription/Cloud/Ads/Payment
- Auto Pause/Stop Functionality
Support RPi OS platform (Don’t know❓):
| OS platform | Buster | Bullseye | Bookworm |
|---|---|---|---|
| arm64 (x64) | ✅ | ✅ | ✅ |
| armhf (x32) | ❌ | ✅ | ❌ |
| RPi(Boardcom) | Intel/AMD CPU | AllWinner | RockChip | RAM |
|---|---|---|---|---|
| ✅ | ✅ | ✅ | ✅ | >=512MB |
Install via the bundled Plugin Manager or manually using this URL:
https://github.com/DrAlexLiu/OctoPrint-PiNozCam/archive/master.zip
Compatible with most market-available endoscope cameras.
- Nozzle camera kits: StealthBurner, 3Do, etc.
- Build yours with cameras from Aliexpress or Amazon or Temu.
Ensure your camera:
- 30Hz frame rate, 16:9, >=480P❓
- Built-in LED backlighting.
- Positioned **~ 10 cm** from the nozzle.
Search and print a nozzle camera bracket for your camera model.
The setup would be like this:
To enable notifications, enter your Telegram bot token and chat ID or Discord Webhook url. Upon configuration and clicking "Save". A welcome message confirms successful setup. An example failure notification will be sent like this:
Navigate to the PiNozCam tab:
The screenshot:
Key Parameters:
- Action: Specifies the action PiNozCam should take when a print failure is detected (e.g., notify only, pause print, stop print). Detected failures are displayed in the video stream for 5 seconds, allowing for immediate visual verification.
- Image Sensitivity: Adjust the sensitivity to ensure accurate detection of print failures. Set the threshold to balance between premature stopping for minor issues and delaying action for significant errors. A starting value of 0.04 or 4% is recommended for optimal balance.
- Failure Scores Threshold: Define the confidence level at which an anomaly is considered a print failure. This setting helps in reducing false alarms by setting a minimum probability threshold for errors, ensuring that only genuine failures prompt action.
- Max Failure Count: Specify the number of detections required in Failure Consider Time before PiNozCam takes the configured action. A value above 1 is recommended to avoid false positives.
- Failure Consider Time (s): Implement a time buffer to focus on recent failures, ignoring older detections that may no longer be relevant. This dynamic consideration helps in adapting to the current state of the print.
- CPU Speed Control: Offers options for running the CPU at half or full speed. Half speed is recommended.
Initially, stick with the default settings and adjust them gradually to fine-tune performance.
For further discussion and support, please join our Discord channel.