With the rapid advancement of machine vision, artificial intelligence, and human-computer interaction, high-intelligence robots once confined to science fiction are now becoming a reality. Consumer-grade robots are gradually entering our daily lives, appearing in supermarkets and homes, and taking on various manual tasks. However, recent reports from netizens about their sweeping robots displaying strange or malfunctioning behavior have sparked widespread discussions online about the current state and future of robot technology.
It's easy to imagine how problematic situations—like bizarre malfunctions caused by technical issues—could be a major challenge for companies. From product repairs and redesigns to brand damage and loss of consumer trust, the consequences can be severe. Despite these challenges, the growing attention from both netizens and media highlights the immense market potential of robotics. For robot manufacturers, the most pressing need is to choose the right machine vision technology that enhances performance and improves user experience.
Currently, most robotic systems rely on 2D image processing through algorithms. However, 2D images lack depth information, which limits the AI’s ability to accurately perceive the environment. By incorporating 3D data, robots can better understand spatial relationships, improving navigation, object recognition, and interaction capabilities. This is where 3D depth cameras come into play.
Using 3D depth cameras for SLAM mapping, obstacle avoidance, target tracking, human-computer interaction, and automated grasping offers an efficient and cost-effective solution. Among the three main types of 3D depth camera technologies—structured light, time-of-flight (TOF), and stereo vision—structured light stands out for its maturity, high resolution, and lower hardware costs. It also provides good algorithm compatibility and has been widely adopted by industry leaders like Apple, Microsoft, and Intel.
When PremeSense was acquired by Apple and stopped offering external licenses, and when Intel RealSense products became expensive, Obi Zhongguang emerged as a key player in structured light technology. Their Astra, Astra Pro, and Astra mini 3D depth cameras offer excellent cost-performance and support for key robotic functions such as SLAM mapping, obstacle avoidance, and human interaction.
Obi Zhongguang's Astra series includes an infrared camera, laser, and RGB camera, with a compact module size of 165mm × 38mm × 30mm. The detection range is between 0.6m and 8m, with accuracy up to ±1–3mm. The Astra mini version is even smaller, at 80mm × 20mm × 19.3mm, making it suitable for more applications.
The company has developed all core components in-house, including 3D computing chips, deep learning algorithms, and system SDKs. With over 300 patents and a strong R&D team, Obi Zhongguang is able to provide competitive solutions compared to foreign alternatives.
Recently, Obi Zhongguang announced the release of a new generation of structured light 3D sensors. These next-gen products are more compact, offer higher resolution, and consume less power, making them ideal for use in smartphones, tablets, notebooks, and other devices requiring miniaturized 3D sensing.
As Obi Zhongguang continues to push the boundaries of structured light 3D sensing, their technology is being applied across multiple industries, including smart TVs, security, and robotics. As a global leader in AI vision, they aim to make every device in the world capable of understanding and interacting with the real world.
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