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![output image](https://qengineering.eu/github/GitHubLogo.jpg)

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## **[YoloCam](https://github.com/Qengineering/YoloCam)**
![output image](https://qengineering.eu/github/YoloCamGitHubSocialSmall.jpg) ![output image](https://qengineering.eu/github/YoloCamGitHubSocialSmallScreen.jpg) 
A Raspberry Pi 4, 3 or Zero 2, with stand-alone AI object recognition, browser-based live streaming, email, cloud storage, GPIO and URL event triggers. 
#### **[YoloIP](https://github.com/Qengineering/YoloIP)** 
![output image](https://qengineering.eu/github/YoloIPGitHubSocialSmall.jpg) ![output image](https://qengineering.eu/github/YoloIPGitHubSocialSmallScreen.jpg) 
A Raspberry Pi 4 or 5, with stand-alone AI, supports multiple IP surveillance cameras. 
## **[Rock5GPT](https://rock5gpt.qengineering.eu)**
<img width="543" height="767" alt="Rock5GPT" src="https://github.com/user-attachments/assets/3ce5ad31-bc2b-4513-8ac9-42be793a86db" /> 
A professional **Qwen3.5 AI chatbot** running on a **Rock 5C**.

---------

## Table of Contents

- ### AI
 * **VLM** 
 NPU RK3588 (Rock 5A, Orange Pi 5, Rock 5C)
 + [Qwen3.5-VL-0.8B](https://github.com/Qengineering/Qwen3.5-0.8B-NPU)
 + [Qwen3.5-VL-2B](https://github.com/Qengineering/Qwen3.5-2B-NPU)
 + [Qwen3.5-VL-4B](https://github.com/Qengineering/Qwen3.5-4B-NPU)
 + [Qwen3.5-VL-9B](https://github.com/Qengineering/Qwen3.5-9B-NPU)
 + [Qwen3-**Video**](https://github.com/Qengineering/Qwen3-VL-NPU-VIDEO)
 + [Qwen3-VL-2B](https://github.com/Qengineering/Qwen3-VL-2B-NPU)
 + [Qwen3-VL-4B](https://github.com/Qengineering/Qwen3-VL-4B-NPU)
 + [InternVL3.5-1B](https://github.com/Qengineering/InternVL3.5-1B-NPU)
 + [InternVL3.5-2B](https://github.com/Qengineering/InternVL3.5-2B-NPU)
 + [InternVL3.5-4B](https://github.com/Qengineering/InternVL3.5-4B-NPU)
 + [InternVL3.5-8B](https://github.com/Qengineering/InternVL3.5-8B-NPU)
 + [Qwen2.5-VL-3B](https://github.com/Qengineering/Qwen2.5-VL-3B-NPU)
 + [Qwen2-VL-7B](https://github.com/Qengineering/Qwen2-VL-7B-NPU)
 + [Qwen2-VL-2.2B](https://github.com/Qengineering/Qwen2-VL-2B-NPU)
 + [InternVL3-1B](https://github.com/Qengineering/InternVL3-NPU)
 + [SmolVLM2-2.2B](https://github.com/Qengineering/SmolVLM2-2B-NPU)
 + [SmolVLM2-500M](https://github.com/Qengineering/SmolVLM2-500M-NPU)
 + [SmolVLM2-256M](https://github.com/Qengineering/SmolVLM2-256M-NPU)
- ### Deep Learning
 * **Classification**
 + [TensorFlow Lite Raspberry Pi zero](https://github.com/Qengineering/TensorFlow_Lite_Classification_RPi_zero)
 + [TensorFlow Lite Raspberry Pi 32](https://github.com/Qengineering/TensorFlow_Lite_Classification_RPi_32-bits)
 + [TensorFlow Lite Raspberry Pi 64](https://github.com/Qengineering/TensorFlow_Lite_Classification_RPi_64-bits)
 + [TensorFlow Lite Jetson Nano](https://github.com/Qengineering/TensorFlow_Lite_Classification_Jetson-Nano)
 + [ncnn ShuffleNetV2 Raspberry Pi](https://github.com/Qengineering/ShuffleNetV2-ncnn)
 + [ncnn SqueezeNet Raspberry Pi](https://github.com/Qengineering/SqueezeNet-ncnn)
 * **SSD** 
 Raspberry Pi 4/5
 + [TensorFlow Lite Raspberry Pi 32](https://github.com/Qengineering/TensorFlow_Lite_SSD_RPi_32-bits)
 + [TensorFlow Lite Raspberry Pi 64](https://github.com/Qengineering/TensorFlow_Lite_SSD_RPi_64-bits)
 + [OpenCV MobileNetV1_SSD Caffe Raspberry Pi 64](https://github.com/Qengineering/MobileNetV1_SSD_OpenCV_Caffe)
 + [OpenCV MobileNetV1_SSD TensorFlow Raspberry Pi 64](https://github.com/Qengineering/MobileNet_SSD_OpenCV_TensorFlow)
 + [ncnn Rfcn Raspberry Pi 64](https://github.com/Qengineering/Rfcn_ncnn)
 + [ncnn Faster RCNN Raspberry Pi 64](https://github.com/Qengineering/Faster_RCNN_ncnn)
 + [ncnn PeeleeNet Raspberry Pi 64](https://github.com/Qengineering/PeleeNet_SSD)
 + [ncnn NanoDet Raspberry Pi 64](https://github.com/Qengineering/NanoDet-ncnn-Raspberry-Pi-4)
 + [ncnn NanoDet Plus Raspberry Pi 64](https://github.com/Qengineering/NanoDetPlus-ncnn-Raspberry-Pi-4)
 + [ncnn PP-PicoDet Raspberry Pi 64](https://github.com/Qengineering/PP-PicoDet-ncnn-Raspberry-Pi-4)
 + [ncnn YoloFastestV2 Raspberry Pi 64](https://github.com/Qengineering/YoloFastestV2-ncnn-Raspberry-Pi-4)
 + [ncnn YoloX Raspberry Pi 64](https://github.com/Qengineering/YoloX-ncnn-Raspberry-Pi-4)
 + [ncnn YoloV2 Raspberry Pi 64](https://github.com/Qengineering/YoloV2-ncnn-Raspberry-Pi-4)
 + [ncnn YoloV3 Raspberry Pi 64](https://github.com/Qengineering/YoloV3-ncnn-Raspberry-Pi-4)
 + [ncnn YoloV4 Raspberry Pi 64](https://github.com/Qengineering/YoloV4-ncnn-Raspberry-Pi-4)
 + [ncnn YoloV5 Raspberry Pi 64](https://github.com/Qengineering/YoloV5-ncnn-Raspberry-Pi-4)
 + [ncnn YoloV6 Raspberry Pi 64](https://github.com/Qengineering/YoloV6-ncnn-Raspberry-Pi-4)
 + [ncnn YoloV7 Raspberry Pi 64](https://github.com/Qengineering/YoloV7-ncnn-Raspberry-Pi-4)
 + [ncnn YoloV8 Raspberry Pi 64](https://github.com/Qengineering/YoloV8-ncnn-Raspberry-Pi-4)
 + [ncnn YoloV9 Raspberry Pi 64](https://github.com/Qengineering/YoloV9-ncnn-Raspberry-Pi-4)
 + [ncnn YoloV10 Raspberry Pi 64](https://github.com/Qengineering/YoloV10-ncnn-Raspberry-Pi-4) 
 Jetson Nano
 + [TensorFlow Lite Jetson Nano](https://github.com/Qengineering/TensorFlow_Lite_SSD_Jetson-Nano)
 + [Darknet YoloV4 Jetson Nano](https://github.com/Qengineering/YoloV4-Darknet-Jetson-Nano)
 + [ncnn NanoDet Jetson Nano](https://github.com/Qengineering/NanoDet-ncnn-Jetson-Nano)
 + [ncnn NanoDet Plus Jetson Nano](https://github.com/Qengineering/NanoDetPlus-ncnn-Jetson-Nano)
 + [ncnn PP-PicoDet Jetson Nano](https://github.com/Qengineering/PP-PicoDet-ncnn-Jeston-Nano)
 + [ncnn YoloFastetsV2 Jetson Nano](https://github.com/Qengineering/YoloFastest-ncnn-Jetson-Nano)
 + [ncnn YoloX Jetson Nano](https://github.com/Qengineering/YoloX-ncnn-Jetson-Nano)
 + [ncnn YoloV2 Jetson Nano](https://github.com/Qengineering/YoloV2-ncnn-Jetson-Nano)
 + [ncnn YoloV3 Jetson Nano](https://github.com/Qengineering/YoloV3-ncnn-Jetson-Nano)
 + [ncnn YoloV4 Jetson Nano](https://github.com/Qengineering/YoloV4-ncnn-Jetson-Nano)
 + [ncnn YoloV5 Jetson Nano](https://github.com/Qengineering/YoloV5-ncnn-Jetson-Nano)
 + [ncnn YoloV6 Jetson Nano](https://github.com/Qengineering/YoloV6-ncnn-Jetson-Nano)
 + [ncnn YoloV7 Jetson Nano](https://github.com/Qengineering/YoloV7-ncnn-Jetson-Nano) 
 TensorRT
 + [TensorRT YoloV8.2 Jetson (Orin) Nano](https://github.com/Qengineering/YoloV8-TensorRT-Jetson_Nano) 
 NPU RK3566/68/88 (Radxa Zero 3, Rock 5, Orange Pi 5, Rock 5C)
 + [NPU PP YoloE](https://github.com/Qengineering/PPYoloE-NPU)
 + [NPU YoloX](https://github.com/Qengineering/YoloX-NPU)
 + [NPU YoloV5](https://github.com/Qengineering/YoloV5-NPU)
 + [NPU YoloV5 multithread](https://github.com/Qengineering/YoloV5-NPU-Multithread)
 + [NPU YoloV6](https://github.com/Qengineering/YoloV6-NPU)
 + [NPU YoloV7](https://github.com/Qengineering/YoloV7-NPU)
 + [NPU YoloV8](https://github.com/Qengineering/YoloV8-NPU)
 + [NPU YoloV10](https://github.com/Qengineering/YoloV10-NPU)
 * **Tracking**
 + [ByteTrack with labels](https://github.com/Qengineering/ByteTrack_with_labels)
 + [ncnn YoloX + Tracking Rpi 64](https://github.com/Qengineering/YoloX-Tracking-ncnn-RPi_64-bit)
 + [ncnn NanoDet + Tracking Rpi 64](https://github.com/Qengineering/NanoDet-Tracking-ncnn-RPi_64-bit)
 + [Tensorflow Lite + Tracking Rpi 64](https://github.com/Qengineering/TensorFlow_Lite-Tracking-RPi_64-bit)
 * **Traffic**
 + [Traffic counter camera Rpi 64](https://github.com/Qengineering/Traffic-Counter-RPi_64-bit) 
 + [Traffic counter camera Rock 5C](https://github.com/Qengineering/Traffic-Counter-Rock5C) 
 * **Segmentation**
 + [TensorFlow Lite Raspberry Pi 32](https://github.com/Qengineering/TensorFlow_Lite_Segmentation_RPi_32-bit)
 + [TensorFlow Lite Raspberry Pi 64](https://github.com/Qengineering/TensorFlow_Lite_Segmentation_RPi_64-bit)
 + [TensorFlow Lite Jetson Nano](https://github.com/Qengineering/TensorFlow_Lite_Segmentation_Jetson-Nano)
 + [ncnn YoloV5 segmentation Rpi 64](https://github.com/Qengineering/YoloV5-segmentation-ncnn-RPi4)
 + [ncnn Yolact Raspberry Pi](https://github.com/Qengineering/Yolact-ncnn-Raspberry-Pi-4)
 + [NPU YoloV5-seg](https://github.com/Qengineering/YoloV5-seg-NPU) 
 + [NPU YoloV8-seg](https://github.com/Qengineering/YoloV8-seg-NPU) 
 * **Pose**
 + [TensorFlow Lite Raspberry Pi 32](https://github.com/Qengineering/TensorFlow_Lite_Pose_RPi_32-bits)
 + [TensorFlow Lite Raspberry Pi 64](https://github.com/Qengineering/TensorFlow_Lite_Pose_RPi_64-bits)
 + [TensorFlow Lite Jetson Nano](https://github.com/Qengineering/TensorFlow_Lite_Pose_Jetson-Nano)
 + [ncnn Raspberry Pi 64](https://github.com/Qengineering/ncnn_Pose_RPi_64-bits) 
 * **Face detection**
 + [MNN Ultra Raspberry Pi 64](https://github.com/Qengineering/Face-detection-Raspberry-Pi-32-64-bits/tree/master/MNN)
 + [ncnn Ultra Raspberry Pi 64](https://github.com/Qengineering/Face-detection-Raspberry-Pi-32-64-bits/tree/master/ncnn)
 + [OpenCV Ultra Raspberry Pi 64](https://github.com/Qengineering/Face-detection-Raspberry-Pi-32-64-bits/tree/master/OpenCV)
 + [ncnn LFFD Raspberry Pi 64](https://github.com/Qengineering/LFFD-ncnn-Raspberry-Pi-4)
 + [MNN LFFD Raspberry Pi 64](https://github.com/Qengineering/LFFD-MNN-Raspberry-Pi-4)
 + [ncnn CenterFace Raspberry Pi 64](https://github.com/Qengineering/CenterFace-ncnn-Raspberry-Pi-4)
 + [ncnn LFFD Jetson Nano](https://github.com/Qengineering/LFFD-ncnn-Jetson-Nano)
 + [MNN LFFD Jetson Nano](https://github.com/Qengineering/LFFD-MNN-Jetson-Nano)
 + [ncnn CenterFace Jetson Nano](https://github.com/Qengineering/CenterFace-ncnn-Jetson-Nano)
 + [ncnn YoloV5 face Raspberry Pi 64](https://github.com/Qengineering/YoloV5-face-ncnn-RPi4)
 * Face detection with landmarks
 + [ncnn Ultra Raspberry Pi](https://github.com/Qengineering/Face-detection-Landmark-Raspberry-Pi-32-64-bits)
 * **Face mask detection**
 + [ncnn + Paddle Raspberry Pi](https://github.com/Qengineering/Face-Mask-Detection-Raspberry-Pi-64-bits)
 + [ncnn + Paddle Jetson Nano](https://github.com/Qengineering/Face-Mask-Detection-Jetson-Nano)
 + [TensorFlow Raspberry Pi](https://github.com/Qengineering/TensorFlow_Lite_Face_Mask_RPi_64-bits)
 + [TensorFlow Jetson Nano](https://github.com/Qengineering/TensorFlow_Lite_Face_Mask_Jetson-Nano)
 * **Face recognition**
 + [ncnn Raspberry Pi](https://github.com/Qengineering/Face-Recognition-Raspberry-Pi-64-bits)
 + [ncnn Jetson Nano](https://github.com/Qengineering/Face-Recognition-Jetson-Nano)
 * Face recognition with mask
 + [ncnn Jetson Nano](https://github.com/Qengineering/Face-Recognition-with-Mask-Jetson-Nano)
 * **OCR**
 + [**ncnn** PaddleOCR (v5) Document scanner RPi](https://github.com/Qengineering/PaddleOCR-Lite-Document)
 + [PaddleOCR-Lite License plate RPi](https://github.com/Qengineering/PaddleOCR-Lite-License)
 + [OpenCV detect text in image RPi](https://github.com/Qengineering/OpenCV_OCR_Detect_Text)
 + [OpenCV recognize text with deep learning RPi](https://github.com/Qengineering/OpenCV_OCR_DNN)
 + [OpenCV recognize text with tesseract RPi](https://github.com/Qengineering/OpenCV_OCR_Tesseract)
 * **Parking** 
 + [XACTAI - OCR - License plate](https://github.com/xactai/ALPR_1.5_Public/tree/master/ALPR_1.5)
 * **Super-resolution**
 + [real ESRGAN ncnn Raspberry Pi 4 ](https://github.com/Qengineering/Real-ESRGAN-ncnn-Raspberry-Pi-4)
 + [realsr ncnn Jetson Nano](https://github.com/Qengineering/realsr-ncnn-Jetson-Nano)
 * **Face reconstruction**
 + [GFPGAN ncnn Raspberry Pi 4 ](https://github.com/Qengineering/GFPGAN-ncnn-Raspberry-Pi-4)
 * **Age Gender estimation**
 + [OpenCV Raspberry Pi](https://github.com/Qengineering/Age-Gender-OpenCV-Raspberry-Pi-4)
 * **Head pose estimation**
 + [ncnn Ultra Raspberry Pi 64](https://github.com/Qengineering/Head-Pose-ncnn-Raspberry-Pi-4)
 * **Hand pose estimation**
 + [ncnn NanoDet Raspberry Pi 64](https://github.com/Qengineering/Hand-Pose-ncnn-Raspberry-Pi-4)
 * **Colorization**
 + [ncnn Colorization Raspberry Pi 64](https://github.com/Qengineering/ncnn-Colorization_Raspberry-Pi-4)
 * **QR and bar code**
 + [ZBar Raspberry Pi](https://github.com/Qengineering/QR_scanner_Raspberry_Pi)
- ### Wheels
 * **TensorFlow**
 + [Raspberry Pi 32](https://github.com/Qengineering/TensorFlow-Raspberry-Pi)
 + [Raspberry Pi 64](https://github.com/Qengineering/TensorFlow-Raspberry-Pi_64-bit)
 + [Jetson Nano](https://github.com/Qengineering/TensorFlow-JetsonNano)
 * **TensorFlow Lite**
 + [Raspberry Pi 64](https://github.com/Qengineering/TensorFlow-Lite-Raspberry-Pi_64-bit)
 + [Jetson Nano](https://github.com/Qengineering/TensorFlow-Lite-Raspberry-Pi_64-bit)
 * **TensorFlow Addons**
 + [Raspberry Pi 64](https://github.com/Qengineering/TensorFlow-Addons-Raspberry-Pi_64-bit)
 + [Jetson Nano](https://github.com/Qengineering/TensorFlow-Addons-Jetson-Nano)
 * **PyTorch**
 + [Raspberry Pi 64](https://github.com/Qengineering/PyTorch-Raspberry-Pi-64-OS)
 + [Jetson Nano](https://github.com/Qengineering/PyTorch-Jetson-Nano)
 * **PaddlePaddle**
 + [Raspberry Pi 64](https://github.com/Qengineering/Paddle-Raspberry-Pi)
 + [Jetson Nano](https://github.com/Qengineering/Paddle-Jetson-Nano)
 * **TensorRT**
 + [Jetson Nano Ubuntu 20.04](https://github.com/Qengineering/Jetson-Nano-Ubuntu-20-image)
 * **OpenCV**
 + [Raspberry Pi 32](https://github.com/Qengineering/Install-OpenCV-Raspberry-Pi-32-bits)
 + [Raspberry Pi 64](https://github.com/Qengineering/Install-OpenCV-Raspberry-Pi-64-bits) 
 + [Jetson Nano](https://github.com/Qengineering/Install-OpenCV-Jetson-Nano)
- ### Miscellaneous
 * **Joshua Riek**
 + [RK35xx-CopyFail-Hotfix](https://github.com/Qengineering/RK35xx-CopyFail-Hotfix)
 * **rtop**
 + [rtop Ubuntu](https://github.com/Qengineering/rtop-Ubuntu)
 + [rtop KDE](https://github.com/Qengineering/rtop-KDE) 
 * **OpenCV**
 + [libcamera C++ API wrapper Bullseye 64](https://github.com/Qengineering/LCCV)
 * GStreamer
 * Buster
 + [GStreamer 1.18.4 + OpenCV Raspberry Pi 32](https://github.com/Qengineering/GStreamer-1.18.4-RPi_32-bits)
 + [GStreamer 1.18.4 + OpenCV Raspberry Pi 64](https://github.com/Qengineering/GStreamer-1.18.4-RPi_64-bits)
 * Bullseye 
 + [Libcamera + OpenCV on Raspberry Pi 32](https://github.com/Qengineering/Libcamera-OpenCV-RPi-Bullseye-32OS)
 + [Libcamera + OpenCV on Raspberry Pi 64](https://github.com/Qengineering/Libcamera-OpenCV-RPi-Bullseye-64OS)
 + [Multithread cameras with OpenCV](https://github.com/Qengineering/Multithread-Camera-OpenCV)
 + [RTSP with OpenCV](https://github.com/Qengineering/RTSP-with-OpenCV)
 + [Examples Raspberry Pi 64](https://github.com/Qengineering/OpenCV-Livecam-Raspberry-Pi)
 + [Qt5 RPi 64 + Jetson Nano](https://github.com/Qengineering/Qt5-OpenCV-Raspberry-Pi-Jetson-Nano)
 + [Blur detection](https://github.com/Qengineering/Blur-detection-with-FFT-in-C)
 + [Fast background substraction](https://github.com/Qengineering/Fast-Background-Substraction)
 * **Sensors**
 + [DHT22 sensor](https://github.com/Qengineering/DHT22-Raspberry-Pi)
 * **Caffe**
 + [cuDNN 8.0 + CUDA 10.3 WeiLui SSD Fork + Configuration files RPi, Jetson](https://github.com/Qengineering/caffe)
 * **NPU**
 + [RKNN model zoo](https://github.com/Qengineering/rknn_model_zoo)
- ### Images
![output image](https://qengineering.eu/github/SDcard32GB_small.jpg) [Raspberry Pi 4 **Bullseye** 64-bit OS with several frameworks and deep-learning examples](https://github.com/Qengineering/RPi-Bullseye-DNN-image) 
![output image](https://qengineering.eu/github/SDcard16GB_small.jpg) [Raspberry Pi 4 Buster 64-bit OS with several frameworks and deep-learning examples](https://github.com/Qengineering/RPi-image) 
![output image](https://qengineering.eu/github/SDcard16GBZero2small.jpg) [Raspberry Pi **Zero 2 W 64-bit** OS image with OpenCV, TensorFlow Lite and ncnn](https://github.com/Qengineering/RPi_64-bit_Zero-2-image) 
![output image](https://qengineering.eu/github/SDcard16GB_banana.jpg) [Banana Pi M2 Zero image **with OV5640** camera and OpenCV](https://github.com/Qengineering/BananaPi-M2-Zero-OV5640) 
![output image](https://qengineering.eu/github/RockPi5_Ubuntu_22.jpg) [Rock 5 with **Ubuntu 22.04**, OpenCV, ncnn and **NPU**](https://github.com/Qengineering/Rock-5-Ubuntu-22-image) 
![output image](https://qengineering.eu/github/RadxaZero3_Ubuntu_22.jpg) [Radxa Zero 3 with **Ubuntu 24.04**, OpenCV, ncnn and **NPU**](https://github.com/Qengineering/Radxa-Zero-3-NPU-Ubuntu24) 
![output image](https://qengineering.eu/github/SDcard32GB_smallJetson.jpg) [A Jetson Nano image with OpenCV, TensorFlow and PyTorch](https://github.com/Qengineering/Jetson-Nano-image) 
![output image](https://qengineering.eu/github/SDcard32GBJetsonUB20small.jpg) [A Jetson Nano - **Ubuntu 20.04** image with OpenCV, TensorFlow and PyTorch](https://github.com/Qengineering/Jetson-Nano-Ubuntu-20-image) 
- ### Applications
![output image](https://qengineering.eu/github/SDcardMotion.jpg) [RPi z2, 3 or 4 motion surveillance camera with email notification and gdrive storage](https://github.com/Qengineering/RPiMotionCam) 
![output image](https://qengineering.eu/github/SDcardDNN.jpg) [**YoloCam**, the cheapest AI-powered camera with email notification, gdrive storage and GPIO output](https://github.com/Qengineering/YoloCam) 
![output image](https://qengineering.eu/github/SDcardYoloIP.jpg) [**YoloIP**, the cheapest AI-powered machine, supports multiple IP surveillance cameras](https://github.com/Qengineering/YoloIP)

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Qengineering

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