On March 15, the second day of the embedded world trade fair in Nuremberg, Germany a special panel discussion on embedded vision was held that took a look at various embedded vision technologies, including those used inautonomous vehicles,factory automation, traffic, and medical imaging applications.
The participants of the discussion were as follows:
- Richard York, VP Embedded Marketing, ARM Ltd.
- Arndt Bake, Chief Marketing Officer, Basler
- Jeff Bier, Founder, Embedded Vision Alliance, and President, BDTI
- Olaf Munkelt, Managing Director, MVTec Software
- Markus Tremmel, Driver Assistance Systems Chief Expert, Robert Bosch
- Nick Ni, Senior Product Manager, Embedded Vision and SDSoC, XILINX
During the discussion, these experts discussion application options and future prospects of embedded vision.
"Embedded vision enables image processing on compact, high-performance, and at the same time low-energy computing platforms," said Dr. Olaf Munkelt, Chairman of the Board of VDMA Machine Vision, and Managing Director at MVTec, during the discussion. This technology thus opens up many new fields of application which so far could be covered neither by PC-based nor by intelligent machine vision systems."
See below for quotes from the panel regarding the current and future state of embedded vision, and click here to view all of them:
Richard York, VP Embedded Marketing, ARM Ltd:
"Embedded Vision Technology significantly reduces the hardware cost of vision systems," he said. "Due to this cost reduction Vision Technology can now be applied to many new application area, where the technology was previously far too expensive. Vision technology will now migrate from a niche technology to become a mainstream technology. Embedded vision will also have a disruptive effect on the existing machine vision market."
Jeff Bier, Founder, Embedded Vision Alliance, and President, BDTI
"Embedded Vision does not compete with other sensing technologies but complements it," he said. "Just like human senses, embedded vision systems need not only image sensors but also variety of low-to-mid speed sensors such as Lidar, radar, ultrasonic, infrared, night vision, to fill the "blind spots". The trend is for "vision guided autonomous systems" to fuse many sensors, machine learning and computer vision techniques to be smarter and smarter."
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