Event-based vision company Prophesee has showcased some interesting applications for its vision sensors from around the world, spanning biotech, scientific analysis, robotics and space technologies. One project partially restored sight to a blind person; another tracks space junk across the sky whether it’s night or day.
Prophesee said it has a community of 2200 inventors working with its technology today. The projects are showcased as part of Prophesee’s inventor community which aims to inspire future creativity. Here are the details.
Ceres Holographics in Scotland is extending its engineering deal with Covestro in Germany for holographic automotive displays
Ceres-finished HoloFlekt films are used in automotive displays as a holographic optical element (HOE). The joint works will focus on the customization of Covestro's Bayfol HX photopolymer together with the Ceres mastering and replication technology that enables production of the finished HoloFlekt functional films.
French event-driven sensor designer Prophesee is working with swiss neuromorphic computing startup SynSense on a single chip design for the Internet of Things (IoT).
The two European companies have strong Chinese connections and have formed a partnership to develop combination vision computing chips and subsystems.
Security IP developer Intrinsic ID has launched a software random number generator to boost security in devices in the Internet of Things (IoT)
Zign RNG enables IoT chip providers and device makers to establish a high-security random number generator in software enabling it to be deployed on devices even after silicon fabrication to ensure a true source of randomness for IoT devices.
Also, if you would like to see more coverage of Intrinsic ID, click here.
The DSP Group has wireless chips for multiple markets in the Internet of Audio Things (IoAT) with DECT/CAT-iq, ULE, Wi-Fi, PSTN, HDClear, video and VoIP technologies. The company had a turnover of $35.8m in the last quarter, with a turnover of $114.5m in 2020. The deal at $22.00 per share values the company at $528m
Synaptics recently announced its Low Power Edge AI initiative and the addition of DSP Group's SmartVoice products to Synaptics' Katana smart vision platform creates a complete portfolio that can both serve existing customer needs and address the significant future market. In addition, the combination further strengthens the Synaptics wireless connectivity portfolio by adding DECT Ultra Low Energy (ULE) for intelligent home security systems.
The DSP Group, founded in 1987, initially started out licensing DSP cores such as Pine, Oak and Teak. In 2002 the group combined its IP licensing business with Parthus Technologies to create Ceva and focussed instead on audio digital signal processors and more recently on AI cores. In 2020 it acquired noise cancellation specialist SoundChip in Switzerland, and as well as the headquarters in San Jose, California, has offices in Nuremberg, Germany, Edinburgh and Daresbury in the UK.
"We continue to invest in technologies that tilt our product mix toward IoT applications," said Michael Hurlston, President and CEO of Synaptics. "DSP Group's expertise in SmartVoice and ULE wireless solutions, coupled with Synaptics' leadership position in far-field speech recognition and IoT directed Wi-Fi/BT combos enables us to deliver increasingly differentiated solutions to our combined customer base, while positioning us to lead the transition to AI enabled devices at the edge of the network."
"We are excited to join forces with Synaptics, a recognized leader in products for IoT. This combination provides a great result for our shareholders who have supported us through this journey, delivering meaningful and certain value," said Ofer Elyakim, CEO of DSP Group. "Our complementary portfolios together with the combination of our world-class engineering teams creates an exciting opportunity for DSP Group's core technology to extend further into our existing customers' product portfolio."
Sony Semiconductor has launched two event-based image sensors intended to improve industrial equipment based on technology from Freench developer Prophesee.
Event-based vision sensors asynchronously detect luminance changes for each pixel and output the changed data only, combining it with information on pixel position (x,y coordinates) and time, thereby enabling high-speed, low latency data output. This is a type of image sensing pioneered by Prophesee.
The two companies rolled out a prototype sensor at the International Solid-State Circuits Conference in February 2020.
The IMX636 has an array of 1280 pixels by 720 pixels while the IMX637 has 640 pixers by 512 pixels. Both sensors are black and white and support the detection of up to 1 billion events per second.
The two products Sony is launching are stacked and use a proprietary copper-to-copper connection technique to support a pixel size of 4.86 micron. Copper pads are used to when stacking the pixel section (top chip) and logic circuits (bottom chip). Compared with through-silicon via (TSV) wiring, where the connection is achieved by electrodes intruded around the circumference of the pixel area, this method gives more freedom in design, improves productivity, allows for a more compact size, and increases performance.
The backing for Prophesee comes from smartphone maker Xiaomi as well as Inno-Chip, an investment firm backed by Will Semiconductor, owner of camera sensor maker OmniVision and Sinovation Ventures. This is the first deal for Chinese investor Sinovation in a European startup.
rench AI developer Prophesee has released a set of key open-source software modules and a set of tools for event-driven Machine Learning such as optical flow and object detection.
As part of the Metavision Intelligence Suite, the Paris-based company is offering the industry’s largest HD Event-Based dataset called OpenEB to developers as a free download. This helps developers use an event-driven approach to machine learning that is triggered by changes rather that neural network frameworks.
The latest release adds an expanded set of development tools and software for designing industrial vision systems with event-driven machine learning. The suite now includes close to 100 algorithms, 67 code samples and 11 use-case specific application modules that accelerate the development process. The open-source modules of OpenEB are available through Github and allow designers to build custom plugins and ensure compatibility with the Metavision Intelligence Suite for developing event-based systems. It provides a platform for developers to share software components across the machine vision ecosystem.
Ceres Holographics in St Andrews is to use Covestro's Bayfol HX photopolymer films for transparent automotive display applications. Ceres uses these films to create specialty solutions with customized holographic optical elements (HOEs) designed to enable a new generation of transparent display applications for automobiles and commercial vehicles.
Bayfol HX film is a transparent thin film featuring a light-sensitive, self-developing photopolymer, that can be used for line-of-sight applications in automobiles and commercial vehicles. Ceres holographic transparent display technology has already been successfully demonstrated in OEM prototypes, enabling full-color display of information on front, side and rear car windows.
"Ceres Holographics has been testing how to harness the unique properties of our Bayfol HX film for holographic transparent display applications for years, and has produced outstanding results," said Yuen-Ling Lok, of Covestro.
"Our digitally-mastered HOEs feature full color and a wide vision field, yielding precision-engineered optical performance and functionality in windscreens and windows at prices that the market demands," said Andy Travers, CEO of Ceres Holographics, in a statement.
Researchers in Switzerland and the Netherlands have used event driven image sensors to improve the safety of a multi-rotor autonomous drone.
Once a motor fails, a drone can rotate uncontrollably, making navigation and stabilisation very difficult. Larger drones use GNSS satellite receivers to try to regain control of the system, but this is not practical for smaller aircraft.
“When one rotor fails, the drone begins to spin on itself like a ballerina,” said Davide Scaramuzza, head of the Robotics and Perception Group at UZH and of the Rescue Robotics Grand Challenge at NCCR Robotics, which funded the research. “This high-speed rotational motion causes standard controllers to fail unless the drone has access to very accurate position measurements.”
Instead, the technique developed by the researchers combine data from a standard camera with an event-driven camera sensor that only responds to changes in an image. These event driven, neuromorphic or spiking neural network sensors are being commercialised by companies such as Prophesee in France and Opteran in the UK. The team plans to release the technology as open source.
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