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Waveshare IMX219-160 8MP IR-CUT Camera,162° FOV, Applicable For Jetson Nano / Compute Module — image 1
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WAVESHARE

Waveshare IMX219-160 8MP IR-CUT Camera,162° FOV, Applicable For Jetson Nano / Compute Module

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IoT Cameras for everyday users

The Waveshare IMX219-160 8MP IR-CUT Camera,162° FOV, Applicable For Jetson Nano / Compute Module by WAVESHARE is a mid-range iot cameras designed for everyday users. It features Item Type: Camera Module and Resolution: 8MP (3280 x 2464).

₹3,395
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Total: ₹3,395
Buying tip: A quality investment for dependable performance and premium build quality.
Estimated delivery: 16 Aug30 Aug
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Quick Specs

Item Type: Camera Module
Resolution: 8MP (3280 x 2464)
Operating Voltage (V): 3.3
Pixel: 8 MP
Sensor: IMX219
Sensor size: 1/4 inch

Ideal For

Photography and videographySecurity monitoringLive streaming
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SKU: robu-1323443Category: IoT Cameras

About This Product

The Waveshare IMX219-160 8MP IR-CUT Camera,162° FOV, Applicable For Jetson Nano / Compute Module by WAVESHARE is a mid-range iot cameras designed for everyday users. It delivers reliable performance at an accessible price.

Key Specifications

  • Item Type: Camera Module — captures sharp, detailed images
  • Resolution: 8MP (3280 x 2464)
  • Operating Voltage (V): 3.3 — works with standard household power
  • Pixel: 8 MP
  • Sensor: IMX219
  • Sensor size: 1/4 inch
  • Aperture (F): 2.7
  • Focal Length (mm): 1.75

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Waveshare IMX219-160 8MP IR-CUT Camera, IR-CUT Infrared Night Vision, 162° FOV, Applicable For Compute Module / Jetson Nano / Jetson Xavier NXIMX219 Camera, with 800 megapixels and 160 FOV, IR-CUT infrared, compatible with Jetson nano. You can also use it with CM3/CM3+ expansion boards like Raspberry Pi Compute Module IO board, Compute Module IO Board Plus, Compute Module POE Board of Waveshare, and the Stereo Pi board. This camera integrates IR-CUT. Connect the IO port on the board to GPIO, input a high level (3.3V) to turn off the infrared filter and set it to night vision mode, and input a low level (GND) to turn on the infrared filter and set it to daytime mode. In the night vision mode, the reddish effect appears when taking pictures during the day, which is a normal phenomenon.

Useful link:

For Software setup, please follow this tutorial.  

Features:

  1. Suitable for AI applications
  2. IR-CUT Infrared Night Vision
  3. 800 megapixels and 160 FOV
  4. Facial recognition, road mark recognition
  5. Compatible With Raspberry Pi Compute Module CM3 / CM3+ / CM4

Package include:

1 X IMX219-160 IR-CUT Camera (with FFC) 1 X Infrared LED Board (B) 2 PCS

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.