1080P 120FPS AI USB Camera Module for Raspberry Pi & Jetson
Specification:
- 1080P Full HD AI camera with up to 120FPS frame rate
- 4 Day General Warranty
- Fast Home Delivery all over Bangladesh
- USB2.0 plug-and-play interface for Raspberry Pi and Jetson Nano
- Supports YUV and MJPG image formats
- Wide field of view up to 120° depending on resolution
- Optimized for AI vision, object detection, and robotics
- Low power consumption for embedded systems
3,300৳ Original price was: 3,300৳ .3,090৳ Current price is: 3,090৳ .
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5 in stock
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Description
1080P 120FPS AI USB Camera Module for Raspberry Pi & Jetson – Description
The 1080P 120FPS AI USB Camera Module is a high-performance vision sensor designed for AI, computer vision, robotics, and real-time image processing applications. Engineered for seamless compatibility with Raspberry Pi and NVIDIA Jetson platforms, this camera module delivers high-resolution imaging combined with ultra-high frame rates, making it ideal for demanding vision-based systems.
With its USB interface, robust build quality, and excellent low-latency performance, this camera module is widely used in AI research, autonomous systems, industrial inspection, and high-speed video capture.
Image Sensor & Optical Performance
The camera features an advanced CMOS image sensor capable of capturing Full HD 1080p resolution with exceptional clarity and color accuracy. The sensor is optimized for high-speed capture while maintaining image stability and sharpness.
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Maximum Resolution: 1920 × 1080 (Full HD)
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Frame Rate: Up to 120 frames per second
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Lens Type: High-quality fixed-focus lens
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Field of View: Wide and suitable for vision analysis
The high frame rate enables precise tracking of fast-moving objects, making it ideal for AI inference and motion-sensitive applications.
High-Speed Video & AI Capability
One of the key strengths of this module is its ability to deliver smooth, low-latency 120FPS video, which is essential for:
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Object detection and tracking
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Facial recognition
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Gesture recognition
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Autonomous navigation
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High-speed industrial inspection
When paired with AI frameworks such as OpenCV, TensorFlow, PyTorch, and NVIDIA CUDA-accelerated pipelines, the camera becomes a powerful vision input device for real-time inference.
USB Interface & Platform Compatibility
The camera uses a standard USB interface, allowing easy plug-and-play connectivity without the need for additional adapters or CSI ports.
Compatible Platforms:
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Raspberry Pi (Zero, 3, 4, 5 series)
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NVIDIA Jetson Nano, Xavier, Orin series
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Linux-based PCs and embedded systems
USB connectivity ensures stable data transfer, flexibility in mounting, and ease of integration into existing systems.
Software Support & Driver Compatibility
The module is supported by a wide range of software environments:
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Linux (UVC compliant)
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OpenCV
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GStreamer
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V4L2
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AI frameworks on Jetson platforms
Its UVC compliance allows the camera to work out-of-the-box on most Linux systems without complex driver installation.
Build Quality & Design
The camera module is built on a durable PCB with secure mounting holes, ensuring reliable installation in embedded and industrial setups. The lens housing is designed to minimize vibration and optical distortion during high-speed operation.
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Compact and lightweight
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Stable lens mount
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Suitable for enclosures and robotic frames
Power Efficiency
Designed for embedded systems, the camera operates with low power consumption while delivering high performance. This makes it suitable for portable, battery-powered, and always-on AI systems.
Typical Applications
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AI vision and machine learning projects
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Robotics and autonomous vehicles
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Face and object recognition systems
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Motion analysis and tracking
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Industrial automation and inspection
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High-speed video capture
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Research and development labs
Summary
The 1080P 120FPS AI USB Camera Module for Raspberry Pi & Jetson is a powerful, flexible, and high-speed imaging solution for modern AI and vision applications. Its combination of Full HD resolution, ultra-high frame rate, USB connectivity, and broad platform support makes it an excellent choice for developers, researchers, and engineers working on advanced real-time vision systems.
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