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The WHEELTEC IMX219 MIPI-CSI HD Camera is a high-performance visual acquisition module specifically engineered for embedded vision and smart hardware applications. Built around an 8-megapixel CMOS image sensor, it strikes an exceptional balance between resolution and frame rate, catering to diverse needs ranging from static image capture to dynamic video processing. It is available in two field-of-view (FOV) variants: a 77 version with <1% distortion, ideal for precision-critical scenarios, and a 120 wide-angle version with <13.6% distortion, designed to cover broader environmental monitoring needs.
At its core, the camera supports three mainstream resolution and frame rate configurations: 32642464@21FPS for high-resolution image capture, 19201080@30FPS to balance clarity and smoothness, and 1280720@60FPS for high-speed dynamic scene capture. Whether for environmental perception in robot navigation or target tracking in AI recognition, it delivers stable and reliable visual input.
In terms of compatibility, it seamlessly integrates with a wide range of mainstream embedded controllers, including RDK X5, Raspberry Pi 4/5, NVIDIA Jetson Nano, Orin Nano, and Orin NX. It supports multiple programming interfaces such as GStreamer, ROS, Raspberry Pi native libcamera, and Python scripts, enabling seamless integration with Linux systems and significantly reducing the integration barrier for developers.
The product features a MINI form factor, measuring just 25mm 24mm 5.5mm, making it easy to embed into space-constrained devices. It also includes pre-drilled mounting holes for convenient installation and calibration. The optional adjustable mounting bracket comes with a calibrated hinge, allowing precise recording of angle parameters after calibration, preventing parameter loss during transport or reinstallationan essential feature for electronic design competitions and research projects where stability is paramount.
Its application scope spans robotics, AI recognition, facial recognition, road marking detection, license plate recognition, and security monitoring, providing developers with a complete visual solution from hardware to software. Backed by professional technical support, it accelerates project deployment and iteration, making it an indispensable tool for modern embedded vision development.
The WHEELTEC IMX219 MIPI-CSI HD Camera is a high-performance visual acquisition module specifically engineered for embedded vision and smart hardware applications. Built around an 8-megapixel CMOS image sensor, it strikes an exceptional balance between resolution and frame rate, catering to diverse needs ranging from static image capture to dynamic video processing. It is available in two field-of-view (FOV) variants: a 77 version with <1% distortion, ideal for precision-critical scenarios, and a 120 wide-angle version with <13.6% distortion, designed to cover broader environmental monitoring needs.
At its core, the camera supports three mainstream resolution and frame rate configurations: 32642464@21FPS for high-resolution image capture, 19201080@30FPS to balance clarity and smoothness, and 1280720@60FPS for high-speed dynamic scene capture. Whether for environmental perception in robot navigation or target tracking in AI recognition, it delivers stable and reliable visual input.
In terms of compatibility, it seamlessly integrates with a wide range of mainstream embedded controllers, including RDK X5, Raspberry Pi 4/5, NVIDIA Jetson Nano, Orin Nano, and Orin NX. It supports multiple programming interfaces such as GStreamer, ROS, Raspberry Pi native libcamera, and Python scripts, enabling seamless integration with Linux systems and significantly reducing the integration barrier for developers.
The product features a MINI form factor, measuring just 25mm 24mm 5.5mm, making it easy to embed into space-constrained devices. It also includes pre-drilled mounting holes for convenient installation and calibration. The optional adjustable mounting bracket comes with a calibrated hinge, allowing precise recording of angle parameters after calibration, preventing parameter loss during transport or reinstallationan essential feature for electronic design competitions and research projects where stability is paramount.
Its application scope spans robotics, AI recognition, facial recognition, road marking detection, license plate recognition, and security monitoring, providing developers with a complete visual solution from hardware to software. Backed by professional technical support, it accelerates project deployment and iteration, making it an indispensable tool for modern embedded vision development.
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