{"en":"Stereo Camera Module Solutions - FrameSync and Standard Module for Full Coverage
\r\nIn fields such as machine vision, 3D perception, and robot navigation, stereo camera modules have become one of the core sensors. However, different application scenarios have vastly different requirements for camera synchronisation accuracy, hardware performance, and data processing capabilities. As a professional camera module manufacturer, Austar offers a full range of stereo camera module solutions, including high-precision frame-synchronised modules and cost-effective standard stereo modules, to meet the diverse needs of customers across various industries. The primary differences between stereo frame-synchronised camera modules and standard stereo camera modules lie in synchronisation accuracy, hardware architecture, application scenarios, and data processing methods. The following is a detailed comparison:
\r\n
\r\n1. Synchronisation Accuracy
\r\nBinocular frame-synchronised camera modules: Utilise high-precision time-synchronisation mechanisms to ensure strict synchronisation of image capture between the left and right cameras, suitable for scenarios with high time-synchronisation requirements such as SLAM and 3D reconstruction.
\r\n
\r\nStandard binocular camera modules: May rely on software synchronisation or simple hardware triggers, resulting in lower synchronisation accuracy and potential parallax calculation errors due to time deviations.
\r\n
\r\n2. Hardware Architecture
\r\nFrame-synchronised modules:
\r\nUtilises the same sensor model, ISP (image signal processor), and shares a common clock source and power management system to ensure hardware consistency.
\r\n
\r\nStandard Modules:
\r\nMay be composed of two independent cameras, with potential inconsistencies in hardware parameters (e.g., exposure, gain), leading to variations in image quality.
\r\n
\r\n3. Application Scenarios
\r\nFrame-Synchronised Modules:
\r\nSuitable for applications requiring high-precision synchronisation, such as visual inertial odometry (VIO), robot navigation, and AR\/VR.
\r\n
\r\nStandard Module:
\r\nPrimarily used in applications with lower synchronisation requirements, such as facial recognition, simple ranging, and security surveillance.
\r\n
\r\n4. Data Processing Method
\r\nFrame Synchronisation Module:
\r\nProvides a dedicated SDK supporting multi-sensor fusion, optimising SLAM and 3D reconstruction algorithms.
\r\n
\r\nStandard Module:
\r\nMay rely on the general-purpose UVC protocol, requiring additional image conversion (e.g., YUV to RGB), which increases computational load.
\r\n
\r\nWhether you need a high-precision frame synchronisation module or an economical standard stereo module, Austar offers professional, stable, and customisable solutions. We have:
\r\n
\r\nIn fields such as machine vision, 3D perception, and robot navigation, stereo camera modules have become one of the core sensors. However, different application scenarios have vastly different requirements for camera synchronisation accuracy, hardware performance, and data processing capabilities. As a professional camera module manufacturer, Austar offers a full range of stereo camera module solutions, including high-precision frame-synchronised modules and cost-effective standard stereo modules, to meet the diverse needs of customers across various industries. The primary differences between stereo frame-synchronised camera modules and standard stereo camera modules lie in synchronisation accuracy, hardware architecture, application scenarios, and data processing methods. The following is a detailed comparison:
\r\n
\r\n1. Synchronisation Accuracy
\r\nBinocular frame-synchronised camera modules: Utilise high-precision time-synchronisation mechanisms to ensure strict synchronisation of image capture between the left and right cameras, suitable for scenarios with high time-synchronisation requirements such as SLAM and 3D reconstruction.
\r\n
\r\nStandard binocular camera modules: May rely on software synchronisation or simple hardware triggers, resulting in lower synchronisation accuracy and potential parallax calculation errors due to time deviations.
\r\n
\r\n2. Hardware Architecture
\r\nFrame-synchronised modules:
\r\nUtilises the same sensor model, ISP (image signal processor), and shares a common clock source and power management system to ensure hardware consistency.
\r\n
\r\nStandard Modules:
\r\nMay be composed of two independent cameras, with potential inconsistencies in hardware parameters (e.g., exposure, gain), leading to variations in image quality.
\r\n
\r\n3. Application Scenarios
\r\nFrame-Synchronised Modules:
\r\nSuitable for applications requiring high-precision synchronisation, such as visual inertial odometry (VIO), robot navigation, and AR\/VR.
\r\n
\r\nStandard Module:
\r\nPrimarily used in applications with lower synchronisation requirements, such as facial recognition, simple ranging, and security surveillance.
\r\n
\r\n4. Data Processing Method
\r\nFrame Synchronisation Module:
\r\nProvides a dedicated SDK supporting multi-sensor fusion, optimising SLAM and 3D reconstruction algorithms.
\r\n
\r\nStandard Module:
\r\nMay rely on the general-purpose UVC protocol, requiring additional image conversion (e.g., YUV to RGB), which increases computational load.
\r\n
\r\nWhether you need a high-precision frame synchronisation module or an economical standard stereo module, Austar offers professional, stable, and customisable solutions. We have:
\r\n