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Tothemoon24
Top 20
#j3016 #handover #autonomous #drivepilot #liability #supercruise #bluecruise #oems #driverassistance #aeb #lkas #regulatory #safety #ncap #gsr #innovation #vision #radar #ultrasonic #autonomous… | Colin Barnden
Shown below is global light vehicle production from 2004-2028, using Philip Koopman's Vehicle Operational Modes. I'm a big fan of Koopman's taxonomy as an alternative to SAE #J3016 as it removes the uncertainty of the machine-to-human #handover. Simply put, who is liable when someone dies? Alex...
Information in the public domain suggests Valeo has an early #innovation lead. Its Smart Safety 360 combines interior and exterior #vision with #radar and #ultrasonic sensing. Magna International may be working on a similar solution, as it swallows Veoneer's entire active safety business, and has known partnerships with Mobileye and Seeing Machines.
Quiltman
Regular
This post was made by Arijit from TCS Research 5 months ago, seeking PhD and Masters candidates.
I'm unsure if it was posted on this forum at the time.
Two months after this post by Arijit, TCS announced a formal commercial partnership with BrainChip via Tata Elxsi, with a focus on healthcare and industrial ( robotics ).
Just think about what is being said here .... with knowledge it is being done utlising BrainChip IP.
At TCS Research, we specialise in embedding intelligence at the edge through Neuromorphic Computing and Spiking Neural Networks.
Our systems targeted for evolving neuromorphic hardware offer extreme low-power consumption, online learning, and real-time inferencing, ideal for IoT, edge analytics, healthcare, robotics, space-tech & more.
explore new topics, advance ongoing projects
If we can't be bullish about this ... well .... then I am lost for words !
I'm unsure if it was posted on this forum at the time.
Two months after this post by Arijit, TCS announced a formal commercial partnership with BrainChip via Tata Elxsi, with a focus on healthcare and industrial ( robotics ).
Just think about what is being said here .... with knowledge it is being done utlising BrainChip IP.
At TCS Research, we specialise in embedding intelligence at the edge through Neuromorphic Computing and Spiking Neural Networks.
Our systems targeted for evolving neuromorphic hardware offer extreme low-power consumption, online learning, and real-time inferencing, ideal for IoT, edge analytics, healthcare, robotics, space-tech & more.
explore new topics, advance ongoing projects
If we can't be bullish about this ... well .... then I am lost for words !
Tothemoon24
Top 20
[BREAKING] Today, we proudly unveil the GenX320 Metavision® sensor - the smallest 
and most power-efficient event-based vision sensor in the world!
https://bit.ly/3QgQoRYBuilt for the next generation of smart consumer devices, GenX320 delivers new levels of intelligence, autonomy, and privacy to a vast range of fast-growing Edge market segments, including AR/VR headsets, wearables, smart camera and monitoring systems, IoT devices, and many more.
The sensor has been developed with a specific focus on the unique energy, compute, and size requirements of Edge AI vision systems. It enables robust, high-speed vision at ultra-low power, even in challenging operating and lighting conditions.
GenX320 key benefits include:
Ultra-fast event timestamping (1 µsec) with flexible data formatting Smart power management for ultra-low power consumption and wake-on-events (as low as 36µW) Seamless integration with standard SoCs, reducing external processing Low-latency connectivity through MIPI or CPI data interfaces AI-ready with on-chip histogram output for AI accelerators Sensor-level privacy due to inherently sparse event data and static scene removal Compatibility with Prophesee Metavision Intelligence software suite
Learn more about how the GenX320 successfully overcomes current vision sensing limitations in edge applications https://bit.ly/3QgQoRY
Frangipani
Top 20
Event-based sensor for 'always-on' video, low-power apps
Event-based image sensor pioneer Prophesee has launched a low-power 320 pixel by 320 pixel event-based sensor for multiple applications.
www.eenewseurope.com
Event-based sensor for 'always-on' video, low-power apps
Event-based image sensor pioneer Prophesee has launched a low-power 320 pixel by 320 pixel event-based sensor for multiple applications.
www.eenewseurope.com
Event-based sensor for ‘always-on’ video, low-power apps
New Products | October 16, 2023By Peter Clarke
IMAGE SENSOR
Event-based image sensor pioneer Prophesee SA (Paris, France) has launched a low-power 320 pixel by 320 pixel event-based sensor for multiple applications including ‘always-on’ applications.
The GenX320 is the first of Prophesee’s fifth generation of event-based image sensors and is made at a European foundry that makes image sensors and supports back-side illumination, said Luca Verre, CEO and co-founder of Prophesee. Generations 2 and 3 were fabbed for Prophesee by Tower Semiconductor and Gen4 by Sony said Verre but he declined to identify the manufacturer of the GenX320.The emphasis for the GenX320 is on low power consumption and it is the world’s smallest and most power-efficient event-based vision sensor, said Verre. This makes it suitable for integration in IoT camera and detection systems, AR/VR headsets, gesture recognition devices and eye-tracking applications.
The fifth generation Metavision sensor has a die size of 3mm by 4mm with a 6.3-micron pixel BSI stacked with a 1/5-inch optical format.
Specifications
The small size and low power consumption open up numerous edge-applications. For people-counting and fall-detection, the lack of resolution is a virtue allowing the maintenance of privacy, Prophesee said.Latency is of the order microseconds for high-precision time-stamping of events and the nature of event-based detection makes it suitable for high-dynamic range and low-light applications such as outdoor environments.
Power management modes on-chip reduce power consumption down to 36-microwatts allowing an image sensor to be an always-on resource that can wake up a system. Deep sleep and standby modes are also featured.
MIPI or CPI data output interfaces offer low-latency connectivity to embedded processing platforms, including low-power microcontrollers and modern neuromorphic processor architectures. The sensor also supports histogram output compatible with multiple AI accelerators.
There is native compatibility with Prophesee’s Metavision Intelligence event-based vision software suite.
Early access
Prophesee has sampled the GenX320 to a number of customers who are developing some specific use cases.Zinn Labs is developing gaze tracking systems with a power budget below 20mW. The package size of the GenX320 allows it to be applied to space-constrained head-mounted applications in AR/VR products.
UltraLeap Ltd. is using GenX20 event-based sensors for hand tracking and gesture recognition in its TouchFree interface application.
The GenX320 is available for purchase from Prophesee and its sales partners. It is supported by a complete range of development tools for easy exploration and optimization, including a comprehensive Evaluation Kit housing a chip-on-board GenX320 module
Related links and articles:
www.prophesee.aiView attachment 47222
Built for the next generation of smart consumer devices, GenX320 delivers new levels of intelligence, autonomy, and privacy to a vast range of fast-growing Edge market segments, including AR/VR headsets, wearables, smart camera and monitoring systems, IoT devices, and many more.
The sensor has been developed with a specific focus on the unique energy, compute, and size requirements of Edge AI vision systems. It enables robust, high-speed vision at ultra-low power, even in challenging operating and lighting conditions.
GenX320 key benefits include:
Event-Based Metavision® Sensor GENX320 | PROPHESEE
Event-Based Metavision® Sensor GENX320 | PROPHESEE
Prophesee launches GENX320, the world’s smallest and most power-efficient event-based vision sensor, bringing more intelligence, privacy and safety than ever to consumer Edge-AI devices.
www.prophesee.ai
The link leads to Prophesee's early Adopters:
Zinn Labs,
ultraleap,
Xperi.
Zinn patent application for eye tracking glasses:
WO2023081297A1 EYE TRACKING SYSTEM FOR DETERMINING USER ACTIVITY
Embodiments relate to an eye tracking system. A headset of the system includes an eye tracking sensor that captures eye tracking data indicating positions and movements of a user's eye. A controller (e.g., in the headset) of the tracking system analyzes eye tracking data from the sensors to determine eye tracking feature values of the eye during a time period. The controller determines an activity of the user during the time period based on the eye tracking feature values. The controller updates an activity history of the user with the determined activity.
A method comprising: analyzing eye tracking data to determine eye tracking feature values of an eye of a user of a headset during a time period, wherein the eye tracking data is determined from an eye tracking system on the headset; determining an activity of the user during the time period based on the determined eye tracking feature values; and updating an activity history of the user with the determined activity, wherein the feature values include movements of the eye, and determining the activity comprises identifying movements of the eye that correspond to the activity.
In some embodiments, a machine learned model of the activity module 310 is a recurrent neural network (e.g., using a long short-term memory neural network or gated recurrent units) that considers the time-based component of the eye tracking feature values.
Seems to have all our familiar buzzwords......
So the $64k question.....Does it depend on BrainChip technology...si o no
Or is it infringing on same
Event-Based Metavision® Sensor GENX320 | PROPHESEE
Prophesee launches GENX320, the world’s smallest and most power-efficient event-based vision sensor, bringing more intelligence, privacy and safety than ever to consumer Edge-AI devices.
bit.ly
equanimous
Norse clairvoyant shapeshifter goddess
Tuliptrader
Regular
Quack, quack, quack.
Event-Based Metavision® Sensor GENX320 | PROPHESEE
Prophesee launches GENX320, the world’s smallest and most power-efficient event-based vision sensor, bringing more intelligence, privacy and safety than ever to consumer Edge-AI devices.
View attachment 47233
TT
Fastback6666
Regular
The big seller walls are back up to hold share price down and in place for as long as possible…resume manipulation programming.
Vladsblood
Regular
Gotcha Fastback,, Outright morally criminal systemic activity sanctified by the ever complying ASX throughout Brainchip's advances.
Especially since around the MB announcement. Vlad.
Fastback6666
Regular
Yes it sure is criminal by big insto players @Vladsblood
Insto’s know they a going to make a mint out of Brainchip in the medium to long term at these buy prices …they will hold here as long as they can.
Falling Knife
Regular
Wow! what a flurry of activity!
Could it be as a result of the second generation release, no wait, that would take time to sync with the development cycle of these companies, it must built on those useless AKIDA 1000 and 1500 chip designs
.
UNLESS
the eco system partners have managed to really shorted the implementation cycle like they have been suggesting.
Either way, great news for the 'latched on barnacle' (LOBs) BRN holders.
Exciting next 2 Quarters in this LOB's opinion.
Could it be as a result of the second generation release, no wait, that would take time to sync with the development cycle of these companies, it must built on those useless AKIDA 1000 and 1500 chip designs
.UNLESS
the eco system partners have managed to really shorted the implementation cycle like they have been suggesting.
Either way, great news for the 'latched on barnacle' (LOBs) BRN holders.
Exciting next 2 Quarters in this LOB's opinion.
Last edited:
Bravo
If ARM was an arm, BRN would be its biceps💪!
Modern neuromorphic processor architectures...PLURAL...Hmmm?????
Neuromorphic computing company develops event-based vision sensor for edge AI apps.
Spencer Chin | Oct 16, 2023
As edge-based artificial intelligence (AI) applications become more common, there will be a greater need for sensors that can meet the power and environmental needs of edge hardware. Prophesee SA, which supplies advanced neuromorphic vision systems, has introduced an event-based vision sensor for integration into ultra-low-power edge AI vision devices. The GenX320 Metavision sensor, which uses a tiny 3x4mm die, leverages the company’s technology platform into growing intelligent edge market segments, including AR/VR headsets, security and monitoring/detection systems, touchless displays, eye tracking features, and always-on intelligent IoT devices.
According to Luca Verre, CEO and co-founder of Prophesee, the concept of event-based vision has been researched for years, but developing a viable commercial implementation in a sensor-like device has only happened relatively recently. “Prophesee has used a combination of expertise and innovative developments around neuromorphic computing, VLSI design, AL algorithm development, and CMOS image sensing,” said Verre in an e-mail interview with Design News. “Together, those skills and advancements, along with critical partnerships with companies like Sony, Intel, Bosch, Xiaomi, Qualcomm,and others have enabled us to optimize a design for the performance, power, size, and cost requirements of various markets.”
Prophesse’s vision sensor is a 320x320, 6.3μm pixel BSI stacked event-based vision sensor that offers a tiny 1/5-in. optical format. Verre said, “The explicit goal was to improve integrability and usability in embedded at-the-edge vision systems, which in addition to size and power improvements, means the design must address the challenge of event-based vision’s unconventional data format, nonconstant data rates, and non-standard interfaces to make it more usable for a wider range of applications. We have done that with multiple integrated event data pre-processing, filtering, and formatting functions to minimize external processing overhead.”
Verre added, “In addition, MIPI or CPI data output interfaces offer low-latency connectivity to embedded processing platforms, including low-power microcontrollers and modern neuromorphic processor architectures.”
The sensor performs low latency, µsec resolution timestamping of events with flexible data formatting. On-chip intelligent power management modes reduce power consumption to a low 36uW and enable smart wake-on-events. Deep sleep and standby modes are also featured.
According to Prophesee, the sensor is designed to be easily integrated with standard SoCs with multiple combined event data pre-processing, filtering, and formatting functions to minimize external processing overhead. MIPI or CPI data output interfaces offer low-latency connectivity to embedded processing platforms, including low-power microcontrollers and modern neuromorphic processor architectures.
Prophesee’s Verre expects the sensor to find applications in AR/VR headsets. “We are solving an important issue in our ability to efficiently (i.e. low power/low heat) support foveated rendering in eye tracking for a more realistic, immersive experience. Meta has discussed publicly the use of event-based vision technology, and we are actively involved with our partner Zinn Labs in this area. XPERI has already developed a driver monitor system (DMS) proof of concept based on our previous generation sensor for gaze monitoring and we are working with them on a next-gen solution using GenX320 for both automotive and other potential uses, including micro expression monitoring. The market for gesture and motion detection is very large, and our partner Ultraleap has demonstrated a working prototype of a touch-free display using our solution.”
The sensor incorporates an on-chip histogram output compatible with multiple AI accelerators. The sensor is also natively compatible with Prophesee Metavision Intelligence, an open-source event-based vision software suite that is used by a community of over 10,000 users.
Prophesee will support the GenX320 with a complete range of development tools for easy exploration and optimization, including a comprehensive Evaluation Kit housing a chip-on-board (COB) GenX320 module, or a compact optical flex module. In addition, Prophesee will offer a range of adapter kits that enable seamless connectivity to a large range of embedded platforms, such as an STM32 MCU, speeding time-to-market.
Spencer Chin is a Senior Editor for Design News covering the electronics beat. He has many years of experience covering developments in components, semiconductors, subsystems, power, and other facets of electronics from both a business/supply-chain and technology perspective. He can be reached at Spencer.Chin@informa.com.
www.designnews.com
This Tiny Sensor Could Be in Your Next Headset
Prophesee
Neuromorphic computing company develops event-based vision sensor for edge AI apps.
Spencer Chin | Oct 16, 2023
As edge-based artificial intelligence (AI) applications become more common, there will be a greater need for sensors that can meet the power and environmental needs of edge hardware. Prophesee SA, which supplies advanced neuromorphic vision systems, has introduced an event-based vision sensor for integration into ultra-low-power edge AI vision devices. The GenX320 Metavision sensor, which uses a tiny 3x4mm die, leverages the company’s technology platform into growing intelligent edge market segments, including AR/VR headsets, security and monitoring/detection systems, touchless displays, eye tracking features, and always-on intelligent IoT devices.
According to Luca Verre, CEO and co-founder of Prophesee, the concept of event-based vision has been researched for years, but developing a viable commercial implementation in a sensor-like device has only happened relatively recently. “Prophesee has used a combination of expertise and innovative developments around neuromorphic computing, VLSI design, AL algorithm development, and CMOS image sensing,” said Verre in an e-mail interview with Design News. “Together, those skills and advancements, along with critical partnerships with companies like Sony, Intel, Bosch, Xiaomi, Qualcomm,
and others have enabled us to optimize a design for the performance, power, size, and cost requirements of various markets.”Prophesse’s vision sensor is a 320x320, 6.3μm pixel BSI stacked event-based vision sensor that offers a tiny 1/5-in. optical format. Verre said, “The explicit goal was to improve integrability and usability in embedded at-the-edge vision systems, which in addition to size and power improvements, means the design must address the challenge of event-based vision’s unconventional data format, nonconstant data rates, and non-standard interfaces to make it more usable for a wider range of applications. We have done that with multiple integrated event data pre-processing, filtering, and formatting functions to minimize external processing overhead.”
Verre added, “In addition, MIPI or CPI data output interfaces offer low-latency connectivity to embedded processing platforms, including low-power microcontrollers and modern neuromorphic processor architectures.”
Low-Power Operation
According to Verre, the GenX320 sensor has been optimized for low-power operation, featuring a hierarchy of power modes and application-specific modes of operation. On-chip power management further improves sensor flexibility and integrability. To meet aggressive size and cost requirements, the chip is fabricated using a CMOS stacked process with pixel-level Cu-Cu bonding interconnects achieving a 6.3μm pixel-pitch.The sensor performs low latency, µsec resolution timestamping of events with flexible data formatting. On-chip intelligent power management modes reduce power consumption to a low 36uW and enable smart wake-on-events. Deep sleep and standby modes are also featured.
According to Prophesee, the sensor is designed to be easily integrated with standard SoCs with multiple combined event data pre-processing, filtering, and formatting functions to minimize external processing overhead. MIPI or CPI data output interfaces offer low-latency connectivity to embedded processing platforms, including low-power microcontrollers and modern neuromorphic processor architectures.
Prophesee’s Verre expects the sensor to find applications in AR/VR headsets. “We are solving an important issue in our ability to efficiently (i.e. low power/low heat) support foveated rendering in eye tracking for a more realistic, immersive experience. Meta has discussed publicly the use of event-based vision technology, and we are actively involved with our partner Zinn Labs in this area. XPERI has already developed a driver monitor system (DMS) proof of concept based on our previous generation sensor for gaze monitoring and we are working with them on a next-gen solution using GenX320 for both automotive and other potential uses, including micro expression monitoring. The market for gesture and motion detection is very large, and our partner Ultraleap has demonstrated a working prototype of a touch-free display using our solution.”
The sensor incorporates an on-chip histogram output compatible with multiple AI accelerators. The sensor is also natively compatible with Prophesee Metavision Intelligence, an open-source event-based vision software suite that is used by a community of over 10,000 users.
Prophesee will support the GenX320 with a complete range of development tools for easy exploration and optimization, including a comprehensive Evaluation Kit housing a chip-on-board (COB) GenX320 module, or a compact optical flex module. In addition, Prophesee will offer a range of adapter kits that enable seamless connectivity to a large range of embedded platforms, such as an STM32 MCU, speeding time-to-market.
Spencer Chin is a Senior Editor for Design News covering the electronics beat. He has many years of experience covering developments in components, semiconductors, subsystems, power, and other facets of electronics from both a business/supply-chain and technology perspective. He can be reached at Spencer.Chin@informa.com.
Tiny Sensor Brings Event-Based Vision for Edge AI Apps
Event-based vision sensor targets headsets, eye tracking, smart IoT.
What a great read for the layman or computer genius.
Every holder of BRN should read this.
If you don't have dreams, you can't have dreams come true!
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