1080P 120PFS AI Visual Recognition USB2.0 Camera Module for Raspberry Pi / Jetson NANO RDK-X3
৳3,200.00
All Tax Inclued
Model: 6420
Stock In Stock
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Specifications:
- Image Format: YUV/MJPG
- Image Resolution: 2MP (1080P)
- Data Formats Supported: 320×240, 640×480, 1280×720, 1920×1080
- Lens: F2.8mm
- Field of View (FOV): 80°–120° (depending on resolution)
- Frame Rate: 30FPS–120FPS (1920×1080 @ 30FPS, 120°)
- Sleep Current: <10mA
- Working Current: <200mA
- Interface Type: USB 2.0
- Working Voltage: DC 5V
- Storage Temperature: -20°C to 60°C
- Operating Temperature: 0°C to 65°C
Package:
- 1x 1080P 120FPS AI Visual Recognition USB2.0 Camera Module
- 1x 30cm USB2.0 Cable
Product Description
Features:
- Supports 1080P resolution at up to 120FPS frame rate.
- Wide-angle 120° field of view for a broader visual range.
- Compatible with Raspberry Pi 5/4B/Pi 400, Jetson Nano, and RDK-X3 boards.
- Equipped with 2MP pixels for clear image quality.
- Ideal for AI visual recognition and autonomous driving projects.
- USB2.0 connectivity for seamless integration.
- Comes with a free 30cm USB2.0 cable and tutorial resources for supported boards.
Description:
This USB camera module is a versatile tool perfect for Raspberry Pi 5/4B/Pi 400, Jetson Nano, and RDK-X3 boards. With its 2MP resolution and 120° wide-angle lens, it offers excellent image quality and performance. Designed for AI visual recognition and autonomous driving projects, the camera supports high-speed 120FPS at full HD 1080P resolution. Easy to set up and use, this camera comes with a USB 2.0 interface and all necessary reference tutorials for seamless integration into your projects.
FAQ:
What boards are compatible with this camera module?
- The module is compatible with Raspberry Pi 5/4B/Pi 400, Jetson Nano, and RDK-X3 boards.
What is the frame rate and resolution supported?
- It supports up to 120FPS frame rate at 1080P resolution.
Does the package include any additional accessories?
- Yes, the package includes a 30cm USB2.0 cable and reference tutorials for Raspberry Pi, Jetson Nano, and RDK-X3.