The Arducam AI Camera Kit features a powerful combination of a Raspberry Pi 5, a 64MP Hawkeye camera, and the Hailo-8L AI accelerator. This all-in-one package includes a 32GB SD card, case, cooling fan, and tripod mount for easy setup and optimal performance.
- Estimated shipping time: mid-October 2024
This kit provides exceptional performance with its 13 TOPS AI engine and 64MP camera equipped with PDAF & CDAF, ensuring fast and clear results. Pre-installed with TensorFlow, TensorFlow Lite, PyTorch, and ONNX, it includes comprehensive sample demos to get you started immediately.
Perfect for rapid Proof of Concept (PoC), research, and various embedded vision projects, the Arducam AI Camera Kit offers versatile applications. It's an ideal solution for developers and researchers looking to integrate high-performance AI into their projects.
Applications
- Face Recognition
- Fatigue Detection
- Object Recognition
- Anomaly Detection
- Machine Vision
Features
- Comprehensive AI Camera Solution: Includes Raspberry Pi 5, 64MP Hawkeye, and Hailo AI accelerator modules for high-performance AI and intelligent image processing.
- Powerful AI Performance: 13 TOPS neural network inference engine with Hailo-8L chip for real-time, low-latency AI, integrated with Raspberry Pi's camera software stack.
- High-Resolution Imaging: 64MP Hawkeye sensor with PDAF and CDAF autofocus and 10x zoom for sharp, clear images.
- Pre-installed software: OpenCV-Python, TensorFlow, PyTorch, with sample demos for object detection, image segmentation, and pose estimation.
- Complete Setup: Includes Raspberry Pi 5 (4GB), 32GB SD card, case, and cooling fan, ideal for AI integration in various projects, especially in education and robotics.
Specifications
Image Sensor | |
Image Sensor | SONY 1/1.7" |
Still Resolution | 64 MP |
Color Filter Type | Color |
Shutter Type | Rolling shutter |
Optical Size | 1/1.7 inch |
Output Format | JPEG/YUV/RGB/RAW10 |
Pixel Size | 0.8 μm×0.8 μm |
Sensor Active Area | 9152(H) × 6944(V) |
Frame Rate | 1080p30,720p60 and 640×480p60/90 |
Video Modes (Camera Module) | 9152×6944@2fps, 8000×[email protected], 4624×[email protected], 3840×[email protected], 2312×[email protected], 1920×1080@45fps |
Lens | |
Lens Mount | Stock lens |
Focus Type | PDAF + CDAF |
FOV | 84°(D) |
F.NO | F1.8 |
E.F.L | 5.1mm |
Default Focus Range | 8cm-∞ |
IR Sensitivity | Integral IR-cut Filter, visible light only |
Electrical and Mechanical | |
Operating Voltage | 5 V +/- 5% |
Operating Temp. | 32°F-158°F (0°C to 70°C) |
Power Requirements | 7.5W |
Camera Board Size | 24×25mm |
Overall Size | 99×70×37 mm |
Functionality and Compatibility | |
Supported OS | Bookworm |
Pre-installed Software | hailo-all rpicam-apps-hailo-postprocess opencv-python, libopencv-dev (C++ version) libcamera, rpicam-apps C++ essential tools (building environment) TensorFlow (Python)/ PyTorch camera-streamer, arducacm camera server |
Supported Platform | Raspberry Pi 5 |
Package Including
- 1 x Arducam Pivistation 5 AI Camera Kit
Notes
- Tripod is not included in the package, please check UB0216 for additional purchase.
- This product kit includes the Raspberry Pi 5 with 4GB of RAM and a 32GB SD card preloaded with OS and software. It is recommended to use only this platform.
- For optimal performance, we suggest using the official Raspberry Pi 27W power supply.