Compared with monocular or binocular camera modules, the trinocular USB camera module has the following advantages in applications:
The breadth of the field of view and the improvement of precision: The three-lens camera, through the combination of three different focal lengths (such as wide-angle, telephoto, jne.), can cover a wider range of scenes. The wide-angle lens is responsible for wide-field monitoring, while the telephoto lens focuses on details, significantly enhancing the ability to identify irregular obstacles or tiny targets, and achieving higher detection accuracy in complex environments.
Shadow area depth perception optimization: Due to the parallax calculation principle of binocular cameras, there is a problem of missing depth information in the shadow area where the left camera is visible but the right camera is not. The three-eye camera takes the middle camera as the reference and fills the shadow area through multi-angle parallax calculation to achieve a more complete 3D scene reconstruction.
Enhanced multi-scene adaptability: The combination of lenses with different focal lengths enables the triocular camera to simultaneously meet the requirements of close-range detail capture and long-distance target detection. For instance, in the intelligent driving scenario, wide-angle lenses cover lane line recognition, and telephoto lenses achieve obstacle warning at an ultra-long distance of 350 meters, forming a multi-level perception system.
Measurement accuracy improvement: By calculating the parallax of a single pixel multiple times, the three-eye system can control the error at the sub-pixel level (such as 0.1 pixel accuracy). In combination with the self-learning algorithm, sub-micron-level correction is carried out for the lens deformation caused by temperature changes to ensure that millimeter-level ranging accuracy can still be maintained in extreme environments ranging from -40℃ to 95℃.
All-weather environmental adaptability: In harsh conditions such as rain, fog, and strong light, the three-eye camera can be fused with sensors like millimeter-wave radar, and through multi-modal data complementarity, it can form a 360-degree unobstructed perception. For example, in intelligent driving, the fusion of camera and radar data can increase the detection range to 350 meters and reduce the elevation perception delay to 30ms.
System redundancy improvement: The three-eye structure, through cross-verification of data from multiple cameras, can still maintain basic perception functions when a single camera fails. This redundant design significantly enhances the system’s reliability and has obvious advantages in scenarios with extremely high safety requirements such as industrial inspection and autonomous driving.
Algorithm optimization and space expansion: Although the computational load of the trinocular system is twice that of the binocular system, by optimizing the stereo matching algorithm, additional computing power can be utilized to achieve smaller object detection or clearer texture recognition. For example, in medical imaging equipment, a triocular camera can simultaneously output wide-angle panoramic images and high-magnification local images, meeting different diagnostic needs.