Waveshare IMX477-160 12.3MP Camera, 160 FOV, Applicable For Jetson Nano / Compute Module

Waveshare IMX477-160 12.3MP Camera, 160 FOV, Applicable For Jetson Nano / Compute Module
IMX477-160 12.3MP Camera, 160 FOV, Applicable For Jetson Nano / Compute Module suitable for AI applications like: facial recognition, road mark recognition, license plate number recognition, and so on. MIPI-CSI Camera, based on Sony IMX477 sensor, 1230 M pixels. Supports Raspberry Pi Compute Module
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- Facial recognition
- Road mark recognition
- License plate number recognition
- High Quality Camera
- Light weight
- suitable for AI applications
- Based on Sony IMX477 sensor
- Best for IoT projects
- Low power consumption
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IMX477-160 12.3MP Camera, 160 FOV, Applicable For Jetson Nano / Compute Module suitable for AI applications like: facial recognition, road mark recognition, license plate number recognition, and so on. MIPI-CSI Camera, based on Sony IMX477 sensor, 1230 M pixels. Supports Raspberry Pi Compute Module series and Jetson Nano developer Kit. The High Quality Camera (HQ Camera for short) can capture higher-resolution images than the standard Camera Module. Unlike the latter, it doesnt have a lens already attached. Instead, it can be used with any standard C- or CS-mount lens; 6 mm and 16 mm lenses are available to purchase with the camera to help you get started. Application: Facial recognition Road mark recognition License plate number recognition Useful Link: https://www.waveshare.com/wiki/IMX477-160_12.3MP_Camera Feature: High Quality Camera Light weight suitable for AI applications Based on Sony IMX477 sensor Best for IoT projects Low power consumption Package Include: 1 X Waveshare IMX477-160 12.3MP Camera, 160 FOV, Applicable For Jetson Nano / Compute Module Attachments : Download
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Waveshare IMX477-160 12.3MP Camera, 160 FOV, Applicable For Jetson Nano / Compute Module
