Free Shipping for orders over ₹1999

support@thinkrobotics.com | +91 93183 94903

Load image into Gallery viewer, Waveshare IMX477-160 12.3MP Camera 160° FOV
Load image into Gallery viewer, Waveshare IMX477-160 12.3MP Camera 160° FOV
Load image into Gallery viewer, Waveshare IMX477-160 12.3MP Camera 160° FOV
Load image into Gallery viewer, Waveshare IMX477-160 12.3MP Camera 160° FOV
Load image into Gallery viewer, Waveshare IMX477-160 12.3MP Camera 160° FOV

Waveshare IMX477-160 12.3MP Camera 160° FOV

SKU: SBC2031

Regular price ₹ 6,399.99
Sale price ₹ 6,399.99 Regular price ₹ 8,999.99
Sale Sold out
Unit price
/per 
Tax included. Shipping calculated at checkout.
This is a pre order item. We will ship it when it comes in stock.

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

MIPI-CSI Camera, based on Sony IMX477 sensor, 1230M pixels. Supports Raspberry Pi Compute Module series and Jetson Nano developer Kit. Suitable for AI applications such as license plate number recognition, and facial gesture recognition.

 

 

Specifications

SENSOR Model IMX477
Resolution 12.3MP, 4056 × 3040
CMOS diagonal length 7.9mm
pixel size 1.55µm (H) × 1.55µm (V)
CAMERA Aperture (F) 2.2
Focal length (BFL) 2.75
Field of view (FOV) 160°(D) 118°(H) 87°(V)
Distortion <16%
OPERATING VOLTAGE 3.3V
APPLICATIONS suitable for AI applications like: facial recognition, road mark recognition, license plate number recognition, and so on.

Working With Jetson Nano

Jetson Nano Developer Kit B01 (Left) And Jetson Nano 2GB Developer Kit (Right)

*Jetson Nano is NOT included, and specific driver is required for the Jetson Nano to use the IMX477 camera module.

Working With Raspberry Pi Compute Module

Compute Module 4 + IO Board (Left) And Compute Module 3 + IO Board (Right)

*CM4, CM3, IO Board, and the yellow FFC are NOT included.

Dimensions

Resources

Wiki: IMX477-160_12.3MP_Camera


Customer Reviews

Based on 1 review
100%
(1)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
H
Hardevsinh Palaniya

Good and fast delivery

Meet with our team

Custom Requirements?