As advancements in machine vision, artificial intelligence, and human-computer interaction continue to evolve, robots that were once confined to the realm of science fiction are now becoming increasingly accessible. Consumer-grade robots are starting to appear in supermarkets and homes, assisting with various tasks that previously required human effort. However, recent reports about the seemingly unintelligent behavior of robotic vacuum cleaners have sparked widespread discussion among internet users regarding the current state of robotic applications.
Looking at the bigger picture, it's easy to see why companies might be concerned about the negative publicity surrounding their products. Any bizarre incidents linked to technical glitches could lead to significant challenges—from costly repairs and product redesigns to long-term brand damage and a loss of consumer trust. Yet, despite these concerns, the recent buzz around such incidents highlights the immense potential of the robotics market. For companies in this space, the pressing priority should be to adopt machine vision technologies that align with their product offerings to enhance performance and refine user experiences.
In the robotics sector, the prevailing approach involves achieving intelligent recognition through algorithms applied to 2D images. While this method has its merits, the limited information inherently present in 2D images often acts as a bottleneck for true intelligence. By incorporating comprehensive three-dimensional data, where every contour and physical characteristic of objects is captured, AI capabilities like navigation, trajectory planning, and object recognition can be significantly enhanced.
Choosing a 3D depth camera for tasks such as simultaneous localization and mapping (SLAM), obstacle avoidance, target tracking, human-computer interaction, and automated grasping strikes a balance between functionality and cost. This approach is widely regarded as a reliable solution within the industry.
Currently, there are three main types of 3D depth camera technologies:
1) Structured Light: Projects specific light patterns onto objects, capturing changes in the optical signals to calculate positions and depths, thus reconstructing the full three-dimensional space.
2) Time-of-Flight (TOF): Uses proprietary sensors to measure the time taken for near-infrared light to travel from emission to reception, determining object distances.
3) Binocular Stereo Vision: Employs two cameras to capture images of objects and calculates distances based on triangulation principles.
Structured light stands out due to its maturity, allowing for higher depth image resolutions at lower hardware costs. Its algorithmic complexity is manageable, and ongoing technological improvements, such as enhanced resistance to ambient light, further bolster its appeal. Notable tech giants like Apple, Microsoft, and Intel have embraced structured light for their products, underscoring its industry-wide confidence.
Following Apple’s acquisition of PremeSense and subsequent cessation of external licensing, Intel’s RealSense products remain expensive. However, Obi Zhongguang offers a cost-effective and scalable alternative. Their Astra, Astra Pro, and Astra Mini 3D depth cameras enable functionalities like SLAM mapping, obstacle avoidance, target tracking, human-computer interaction, and automatic grasping for robots.
To explore Obi Zhongguang’s robot solution video, click here: [Link]
The Astra series depth cameras consist of an infrared camera, a laser, and an RGB camera, with sizes available in two models: 165mm x 38mm x 30mm for the standard version and 80mm x 20mm x 19.3mm for the Astra Mini. The detection range spans 0.6-8 meters, with an accuracy of approximately ±1mm to ±3mm, and a viewing angle of 58.4°. Resolution can go up to 1280 x 1024 @ 7FPS. The Astra Mini, being more compact, expands the range of applicable scenarios.
The product’s core components—3D computational chips, deep learning algorithms, and system support SDK—are entirely developed in-house. Since its inception, Obi Zhongguang has filed nearly 300 patents, boasting a robust R&D team with expertise spanning from foundational chip design to deep algorithms, systems, frameworks, and upper-level application support. This enables them to deliver cost-effective consumer-grade solutions compared to those relying on foreign chips.
Upcoming is Obi Zhongguang’s next-generation structured light 3D sensor camera, which promises greater compactness, higher resolution, and reduced power consumption. Ideal for products like smartphones, tablets, notebooks, and robots, this innovation will undoubtedly reshape the landscape of smart terminal design.
With Obi Zhongguang’s growing presence in structured light 3D sensing technology, applications have extended into sectors such as interactive TVs, robotics, and security. As a global leader in AI vision, combining hardware and software expertise, Obi Zhongguang envisions a future where all devices worldwide can perceive and understand the world around them.
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