- Available: 9
- Model: OV5647 Camera Module
- Dimensions: 30.00cm x 0.00cm x 0.00cm
The 01Studio OV5647 Camera Module is specifically engineered for the CanMV K230 AI Development Board, providing a high-performance visual input for advanced machine vision and deep learning projects. Featuring the industry-standard OmniVision OV5647 5-megapixel sensor, this module delivers crisp 1080p high-definition video at a smooth 30 frames per second.
Designed for maximum flexibility in AI deployments, this particular variant includes an extra-long 30cm FFC (Flexible Flat Cable). This extended length is ideal for complex hardware setups where the camera must be positioned away from the main K230 processing unit, such as in robotics, 3D printing enclosures, or specialized security mounts.
Leveraging the 6 TOPS NPU of the Kendryte K230 processor, this camera serves as the eyes for real-time applications including face detection, object counting, and QR code recognition.
Core Features:
Optimized for CanMV K230: Seamlessly integrates with the Kendryte RISC-V K230 platform via the MIPI CSI interface.
High-Definition Imaging: Captures 5MP static images (2592 x 1944) and supports 1080p @ 30fps or 720p @ 60fps video recording.
Extended 30cm Cable: Includes a long-reach 30cm flexible ribbon cable for versatile mounting in deep or articulated enclosures.
Superior Low-Light Performance: Built on OmniBSI™ (backside illumination) technology to provide higher sensitivity and clearer images in challenging lighting conditions.
Plug-and-Play AI: Fully compatible with the CanMV open-source project and MicroPython, enabling rapid development of AI vision models.
Technical Specifications:
Sensor Type: 1/4" OmniVision OV5647 CMOS
Resolution: 5 Megapixels (2592 x 1944 active array)
Video Output: 1080p @ 30fps | 720p @ 60fps | 640x480p @ 90fps
Cable Length: 30cm (Extended Flex)
Interface: MIPI CSI (Camera Serial Interface)
Aperture (F): 2.4 (Fixed Focus)
Field of View (FOV): 62° to 72° (Standard viewing angle)
Power Supply: 3.3V (provided via board connector)
Ideal For: AI Object Recognition, Edge Computing Projects, Robotics Vision, Time-lapse Photography, and Industrial Inspection.