ArduCam KingKong – An RPi CM4-Based AI Edge Camera That Combines OAK-SoM

31 March, 2024

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Arducam has recently announced the ArduCam KingKong a Raspberry Pi CM4-based Smart Edge AI camera based on Luxonis OAK-SoM all housed in a compact metal casee.

This camera module is similar to the Raspberry Pi 5-powered Arducam PiINSIGHT camera which we’ve written about in a previous post. Like the PiINSIGHT board, this board also features the OAK-SoM and is built on the Intel Myriad X, an AI accelerator designed for on-device deep learning applications.

The ArduCam KingKong offers an additional choice for computer vision tasks including an AR0234 global shutter module, supports PoE (Power over Ethernet), and features a CNC metal enclosure for durability.

This is not the first Raspberry Pi camera module we have written about; previously, we have talked about Vizy which is also a Raspberry Pi-based camera module. Feel free to check those out if you are looking for smart Raspberry Pi camera modules.

ArduCam KingKong Specifications:

SoM: Raspberry Pi Compute Module 4 (CM4) with default configuration CM4104000 Wireless 4GB RAM Lite (0GB eMMC).
AI Accelerator: Luxonis OAK SOM BW1099 based on Intel Myriad X 4 TOPS vision processing unit.
Image Sensor:
- 2.3 MP ON Semiconductor AR0234 global shutter color CMOS sensor.
- Optical Size: 1/2.6″.
- Pixel Size: 3 µm x 3 µm.
- Sensor Active Area: 1920(H) × 1200(V).
- Output Format: RAW10, YUV, NV12, RGB.
- Video Modes: 4056×3040 @ 30fps, 3840×2160 @ 30fps, 1920×1080 @ 60fps.
Lens:
- Manual Focus.
- Focal Length: 3.6mm.
- F.NO: F2.8.
- Field of View (FOV): 120°(D)×90°(H)×75°(V).
- Lens Mount: M12 (S-Mount).
- Distortion: < -0.33%.
- IR Sensitivity: Integral IR-cut Filter, visible light only.
Storage: MicroSD card.
Video Output: HDMI port up to 4Kp60.
Networking:
- Gigabit Ethernet RJ45 port.
- WiFi 5 and Bluetooth 5 with external antenna.
USB: 1x USB 2.0 Type-A port.
Expansion: M12 connector for some GPIOs.
Miscellaneous: External Trigger support.
Power Supply:
- 5V/1A via USB.
- PoE via Ethernet port.
Dimensions: 90 × 45 × 73 mm (CNC enclosure excluding antenna and camera module); four mounting points.
Temperature Range: -20°C to 50°C.

The camera runs Raspberry Pi OS and utilizes DepthAI to run various computer vision algorithms on the OAK-SOM including face recognition, fatigue detection, object recognition, object tracking, anomaly detection, and many more. To make things a little easier for the developers the Arducam-KingKong will come with pre-installed software like OpenCV, TensorFlow, a Web UI, RTSP Streaming, and other applications. At the time of writing, there is not much information available but the sources say it will be available very soon on their documentation website.