2025-08-12 15:05Summary of 3D Vision Technology in Robotics Industry Overview - The global machine vision market exceeds 100 billion RMB, with the Chinese market around 20 billion RMB, primarily focused on 2D processing. The demand for 3D technology is rapidly increasing, especially in industrial applications that require depth information for workpiece inspection and in consumer markets like Face ID [11][12]. Key Technologies and Their Characteristics - 3D Vision Technologies: The main hardware routes for achieving 3D functionality include: - Stereo Vision: Low cost but sensitive to ambient light [1][4]. - Structured Light: Good anti-interference but poor performance at long distances [1][4]. - Time of Flight (TOF): Simple structure but low resolution [1][4]. - LiDAR: Long detection range but high cost and low pixel resolution [1][4]. - Core Components: The essential components of robotic vision hardware include lenses, light sources, and cameras. Stereo cameras do not require active light sources, while other methods do [8]. Advantages and Challenges - Advantages: 3D vision technology allows for accurate 3D modeling of the physical world, enhances visual detection precision, and improves resistance to ambient light interference compared to traditional 2D vision [2]. - Challenges: Transitioning from 2D to 3D requires significantly enhanced backend algorithm processing capabilities, with challenges in aligning large point cloud data accurately. Each technology has its limitations, such as susceptibility to environmental interference and varying measurement accuracy [2][4]. Application Scenarios - Industrial Applications: The primary applications in the industrial sector focus on recognition, positioning, measurement, and detection, with detection being the most demanding due to the complexity of identifying physical defects [12]. - Consumer Applications: Consumer-grade applications, such as Apple's Face ID and gesture recognition in electronic devices, are driving the development of 3D vision technology [13][14]. Market Trends and Future Outlook - The market for 3D vision technology in robotics is expected to continue expanding, driven by increasing safety requirements and technological advancements. Companies like Orbbec are gaining attention due to their competitive performance compared to international products [19][17]. - The demand for stereo structured light modules in robotics is significant, with each module costing around 1,000 RMB, and each robot typically requiring 3 to 5 modules, leading to a total cost of approximately 3,000 to 5,000 RMB per robot [18]. Key Suppliers - Major domestic suppliers of 3D vision technology include Orbbec, Cansee, Autel, and Hikrobot, with Orbbec leading in technical strength and product advantages [17]. Conclusion - The integration of various 3D vision technologies is likely to enhance overall system stability and accuracy in robotics. The combination of stereo vision with structured light and the use of TOF with LiDAR in advanced applications will optimize performance across different working conditions [5][6].