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Silke von Gemmingen


AI and Robotics Optimize the Manufacturing Landscape

Simple AI integration and short training phases are key elements

Published: Wednesday, November 15, 2023 - 12:01

The manufacturing sector is currently facing a number of challenges. Technological change, pressing environmental issues, and globalization require a number of adjustments, such as investing in new technologies, conserving resources, and optimizing and securing supply chains.

Shifting production back to the domestic market is increasingly an option. This requires not only resilience, but also compliance with strict environmental regulations and cost-efficient strategies to make domestic manufacturing competitive. Moreover, those who want to ensure the competitiveness of domestic production must overcome personnel bottlenecks.

Automation through robotics has long since become the driving force here, and artificial intelligence (AI) is increasingly taking on a key role. This technology is developing just as rapidly as the pressure for automation is increasing. In order to map production processes in one’s own company with AI, simplifying AI integration and shortening training phases are already decisive factors.

This is where British startup Cambrian Robotics Ltd. comes in with a fully AI-based solution for various robotics applications in manufacturing. It has improved efficiency in assembly tasks and warehouse logistics by taking over fast bin picking or pick-and-place, precisely handling parts-feeding for machines and optimizing work steps in material handling. The easy-to-integrate system consists of a module for robot arms, a computing unit with preinstalled intelligent software, and a camera module, each equipped with two uEye+ XCP cameras from IDS.

A robotic arm locates and grips parts with the help of two IDS cameras and intelligent Cambrian software.

“The task of the cameras is to take a picture of the area with the objects to be handled,” says Miika Satori, founder and CEO of Cambrian Robotics. “Based on the recordings, the software can analyze the scene and recognize where exactly the objects are located.” 

Further processing of the images is carried out with the help of the heart of Cambrian Vision—a specially developed, self-learning software for predicting the position of the parts as well as their pick points. AI handles the image matching, so no classic 3D point cloud is needed. Based on simulated data, the AI learns independently and precisely locates the removal points and parts. The AI models for part recognition and communication with the robot are controlled by a powerful graphics processing unit (GPU). And the software learns quickly: “With the Cambrian software package, pick points for new parts can be defined and the application configured within just two to five minutes,” says Satori.

The associated camera module is equipped with two space-saving uEye XCP industrial cameras. “The two IDS cameras provide images of the object scene from different viewing angles according to the stereo vision principle,” says Satori. “The challenge is to determine the position of the part to be gripped as accurately as possible from these images. This is again the task of AI.”

The combination of image acquisition, AI models, and special image processing makes it possible to precisely determine recording points and positions. Standard CAD applications for 3D bin picking often use structured light or sensors to do this, projecting something onto the environment, creating a point cloud, and then trying to find the part in it. Cambrian uses only two standard IDS industrial cameras instead of a 3D camera.

Two IDS cameras on a robot arm provide images for fast and accurate processing using intelligent software.

With an accuracy of less than one millimeter, Cambrian Vision is more precise than competing systems. “The system reliably detects a wide range of parts, including shiny, reflective, or transparent components, where conventional machine vision systems often reach their limits. At the same time, it remains robust against external light conditions,” says Satori, describing the special requirements for the cameras, which are an elementary part of the solution.

“It’s also super-fast, with an inference speed of less than 170 milliseconds, whereas it often takes more than 1,000 milliseconds for comparable solutions,” says Satori. The fast calculation time allows cycle times of two to three seconds in a bin-picking setting. “This ensures efficient, precise, and accurate execution in a single pass,” making the One-Shot system currently one of the fastest AI image recognition systems on the market.

This is made possible by the SuperSpeed USB 5 Gbps cameras, which reliably deliver high-resolution data for detailed image evaluations in any environment, particularly in applications with low ambient light or changing light conditions. Thanks to back-side illumination pixel technology, the integrated sensor (onsemi AR0521 1/2.5 in. 5.04 MP rolling shutter CMOS sensor) offers stable, low-light performance as well as high sensitivity in the near infrared range, so that the uEye XCPs deliver high-quality images in almost any lighting situation with low pixel noise. With its compact, lightweight full housing (29 x 29 x 17 mm, 61 grams) and screwable USB Micro-B connector, the USB3 XCP is particularly suitable for use in combination with robots and cobots in the field of automation.

Thanks to USB3 and Vision Standard compatibility (U3V/GenICam), the XCP cameras can be easily integrated into any image processing system and can be used with any suitable software.

The simple integration via the standard interface is particularly advantageous, according to Satori. “Depending on the customer’s requirements, we use other IDS cameras in our system,” he says. “The standardized interface enables rapid deployment of a wide variety of uEye models.” Compatible with popular lenses, a wide range of cameras from the IDS portfolio can be used as eyes for custom Cambrian Vision solutions, helping to maximize production performance.

The top speed, the high light insensitivity, and the wide component bandwidth that the system achieves thanks to the powerful IDS cameras and intelligent software make it particularly useful for automation tasks in the production environment.

A powerful CPU controls the AI models for part recognition and communication with the robot.

Another key to efficiency lies in the uncomplicated integration of Cambrian Vision. The intelligent 3D vision system is ready for immediate use without any real robot training—a remarkable acceleration compared to conventional methods. Companies can therefore quickly reap the benefits of automation: They conserve resources and save costs by operating more efficiently, competitively, and sustainably, while improving the quality of their products and the safety of their employees.


“The use of AI in robotics is still in its infancy,” says Satori. Due to the growing demand, the development in the field of image processing with AI will be further advanced, cameras with higher data rates and faster and larger sensors will come onto the market, as well as further price-optimized models with reliable basic functions. “Industrial cameras are getting smaller and more affordable,” Satori says. “This will enable even more applications. Our vision is to give robots capabilities on the same level as humans.”

By using AI-powered robots for mundane and repetitive tasks, human resources can be redirected to more creative, productive, and valuable tasks.


About The Author

Silke von Gemmingen’s picture

Silke von Gemmingen

Silke von Gemmingen manages corporate communications for German camera manufacturer IDS Imaging Development Systems.