Prophesee, CIS Announce Partnership to Develop Industry’s First Event-Based Structured Light Eval Kit, Enabling Next-Generation 3D Sensing performance in Machine Vision Cameras
Machine vision leaders combine expertise in event-based vision and high-performance camera platforms to bring outstanding performance and efficiency for 3D point cloud generation in the kHz range
PARIS – October 3, 2022 – Prophesee SA, inventor of the most advanced neuromorphic vision systems, and CIS Corp., a leading developer of industrial camera systems, today announced they have entered into a partnership to develop the industry’s first evaluation kit for implementing 3D sensing based on structured light point cloud generation using event-based vision. The partnership leverages the intelligent individually-activated pixel data processing capabilities of Prophesee’s event-based Metavision® platform and CIS’s extensive experience in developing high-performance camera systems.
The solution leverages advanced VCSEL technology that can deliver unprecedented 3D point cloud generation in the kHz range, with a light burst emission period in the order of 100us as well as higher robustness to fast motion and lighting conditions compared to state-of-the-art techniques.
“The ability to generate highly accurate 3D point clouds using the efficiency of event-based vision opens up new opportunities to capture three-dimensional scenes. Machine vision systems developed with this approach can dramatically improve the performance and operating capabilities needed in many ultra high-speed 3D measurements for Industry 4.0 applications”, said Yusuke Muraoka, President of CIS.
“CIS’ camera platforms are well suited to implementing our approach to data capture. The ability to integrate VCSEL technology enhances the capabilities for 3D sensing significantly. By combining ourrespective areas of strengths we can help developers understand the advantages this brings, as well as provide them with a way to streamline the design and testing of application-optimized machine visions solutions,” said Luca Verre, co-founder and CEO of Prophesee.
ABOUT PROPHESEE
Prophesee is the inventor of the world’s most advanced neuromorphic vision systems.
The company developed a breakthrough Event-Based Vision approach to computer vision. This new vision category allows for significant reductions of power, latency and data processing requirements to reveal what was invisible to traditional frame-based sensors until now. Prophesee’s patented Metavision® sensors and algorithms mimic how the human eye and brain work to dramatically improve efficiency in areas such as autonomous vehicles, industrial automation, IoT, security and surveillance, and AR/VR.
Prophesee is based in Paris, with local offices in Grenoble, Shanghai, Tokyo and Silicon Valley. The company is driven by a team of more than 100 visionary engineers, holds more than 50 international patents and is backed by leading international equity and corporate investors including 360 Capital Partners, European Investment Bank, iBionext, Intel Capital, Prosperity7 Ventures, Robert Bosch Venture Capital, Sinovation, Supernova Invest, Will Semiconductor, Xiaomi.
Learn more: www.prophesee.ai
ABOUT CIS CORPORATION
CIS has traditionally been known for its reliable, compact, highspeed, and high-resolution machine vision cameras, and is a leading provider of CoaXPress cameras with a line-up starting from VGA resolution all the way up to 250MPixel cameras. and the recent introduction of ultra-high speed CoaX over Fiber (CoF) camera.
With eyes on pushing its business frontiers beyond machine vision, CIS is actively involved in the design and development of custom and standard imaging solutions catering to such markets as logistics, robotics and medical. The development of such solutions includes, but not limited to, the provision of optimal cameras, image processing systems, firmware and application software. This has only become possible with the collective expertise of in-house specialist hardware, FPGA, firmware and application software design teams.
