Event Vision Technology Unlocks New Vision Of Industrial Manufacturing

In the smart factory, AGV/ARM robots accurately identify and pick up items on the shelves through three-dimensional visual perception, and they can also interact collaboratively with human colleagues to safely deliver goods to the production floor. On the production line, machines equipped with smart cameras are like intelligent eyes that can read labels and interpret signs. With machine deep learning, a machine vision system can understand the shape of an object, calculate its volume, and box it perfectly in the most space-efficient way.

It may sound like something out of science fiction, but in today's smart factory, AI is reshaping industrial production and smart manufacturing, from quality control to predictive maintenance, from collaborative robots to digital twins. Machine vision systems combined with artificial intelligence technology collect data through cameras and sensors, allowing industrial equipment to "see" and analyze manufacturing processes, control production quality, and ensure worker safety, is a key technology to lead the transition to Industry 4.0 in industrial manufacturing.

With the further development and maturity of edge computing and AI large models, industrial manufacturing has ushered in a new round of transformation and reform, but also put forward higher requirements for machine vision systems. The traditional machine vision system that performs a single repetitive task can no longer meet the needs of future industrial production and intelligent manufacturing, and we need the machine vision system to be more intelligent and able to make independent and autonomous decisions.

Event Vision technology Unlocks "new vision" of industrial manufacturing

In industrial manufacturing, traditional machine vision systems use frame-based cameras to capture a continuous stream of image data, which is then processed and analyzed by artificial intelligence algorithms. However, this traditional approach has limitations and is difficult to cope with the rapidly growing computing power requirements of machines and the bandwidth requirements for processing large amounts of data.

Different from traditional frame-based image sensing technology, event-based vision sensing technology is inspired by the human visual system, which imitates the working mode of human vision and only pays attention to the changes or "events" occurring in the visual scene. This unique approach not only greatly reduces the amount of data and computational load required for machine vision systems, but also significantly optimizes data transmission and processing processes, achieving unprecedented efficiency.

In addition, the combination of AI algorithms and event vision sensing technology brings a new level of autonomy and adaptability to industrial automation. By utilizing deep learning techniques, machines can learn from large amounts of data and continuously improve their decision-making ability. This symbiotic relationship between event vision sensing and artificial intelligence enables machines to make intelligent, real-time adjustments, optimize processes and minimize downtime.

Join forces to accelerate the development of advanced edge machine vision applications

To accelerate the deep integration and adoption of event vision technology in edge machine vision and industry, Prophesee recently announced the industry's first AMD Kria platform compatible event Vision development Kit with AMD, aiming to create an efficient bridge for machine vision system designers and developers. Help them quickly evaluate and deploy cutting-edge industrial-grade solutions for smart cities, machine vision, security monitoring, retail analytics, and more, seamlessly connecting R&D and production processes.

AMD Kria SOM is suitable for edge AI applications with a large number of I/O interfaces that are energy efficient and cost-effective to accelerate vision and robotic task processing. Combined with Prophesee's breakthrough event vision technology, machine vision system developers can take advantage of the low latency and low power of the Metavision platform to create more efficient applications than traditional frame-based vision solutions. Prophesee also provides a comprehensive suite of event vision software, optimization tools, event vision data sets, and open source platform support to empower developers.

"Event vision sensing solutions are ideal for embedded vision applications," says Gareth Powell, Director of Product Marketing at Prophesee. "A typical use case that we can achieve based on the Kria platform is the precise placement of port containers. By placing Active markers on the containers, our event vision system can accurately locate and track suspended containers in three-dimensional space, ensuring that every operation is safe and correct."

"Another typical application scenario is the counting and classification of high-speed moving objects, such as grains or pills, where Prophesee's event sensors can achieve up to 99 percent detection accuracy," Powell added.

There are already developers and companies developing innovative machine vision applications on Prophesee and AMD's Kria vision suite, such as LogicTronix, a company focused on developing machine learning software, which has successfully developed applications for detecting and tracking vehicles and people. The app will soon be available on the Kria App Store.

"Prophesee's event vision technology offers a unique advantage for the deep integration of embedded vision and AI capabilities in industrial automation with its fast response, low computing power requirements and high energy efficiency," Powell said.

Event vision technology allows machines to quickly identify and respond to critical events in the environment, increasing productivity. Whether it's detecting anomalies on the production line, identifying quality defects in real time, or monitoring worker safety, event vision sensing technology offers unparalleled efficiency and accuracy in the smart factory. In many industries such as automobile manufacturing, electronic parts production, food processing, medical and pharmaceutical, event vision sensing technology has shown broad application prospects, injecting a steady stream of innovative vitality and strong impetus for the new quality productivity in the era of Industry 4.0.

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