BRN Discussion Ongoing
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robsmark
Regular
@zeeb0t
You clearly hold your “Founding Members” with some regard, evidenced by the that fact that it’s listed under their user name.
If this is the way you want them behaving to genuine discussion then you probably need to reassess your forum user agreement/policy.
At this point in time this (his) behaviour is akin to bullying and as a platform owner you’ll find that owning an environment that some pay for which encourages this behaviour by doing absolutely nothing to moderate it can carry serious legal ramifications.
Sam
Nothing changes if nothing changes
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Azzluvstrades
Member
This statement locks it in for me… IMO in layman terms, it relates to the incoming spiking data and subsequent translation of it into conventional computer speak!Modern neuromorphic processor architectures...PLURAL...Hmmm?????
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
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.www.designnews.com
“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.”
AusEire
Founding Member. It's ok to say No to Dot Joining
AusEire
Founding Member. It's ok to say No to Dot Joining
There's a report button. It's moderated by dreadbot. The idea is that the forum should be able to moderate itself. The more people that report a comment the more likely it is that the bot will remove the comment. @zeeb0t can elaborate more on how it works if he feels there's a need to I'm sure.
robsmark
Regular
I don’t have a report button. Where is it?
Perhaps
Regular
This should answer all speculations. Prophesee builds sensor chips which can run on different systems. They had great results coupling their sensor chip with Akida, but the use of system is up to the customer. Prophesee makes their sensor chips future-ready to run on every system including neuromorphics. That doesn't mean there is Akida IP inside, no matter how many Rob Telson likes you can count.My French isn't that good other than repeatedly hearing the word "oui" in some dodgy videos, however take a look at this:
Prophesee part à la conquête de l’IoT et de la réalité immersive avec son nouveau capteur événementiel GenX320
La deeptech parisienne Prophesee dévoile, ce lundi 16 octobre 2023, son nouveau capteur bio-inspiré dénommé GenX320, plus petit que les...-Deeptechwww.usinenouvelle.com
However, one of the paragraphs translated in google says the following
" Synchronous or asynchronous operation
Directly accelerating the processing of event data could involve neuromorphic chips such as those developed by Brainchip (Akida), Intel (Loihi) and many others, some of which are beginning their commercial careers. The spiking neural networks (SNN) that they execute are therefore particularly suited to asynchronous calculations.
“That would be ideal,” recognizes Luca Verre. But, although we collaborate with Brainchip, Synsense and Intel, their chips are not yet mainstream. » Unlike the systems of Qualcomm, Renesas, AMD, etc., optimized to apply AI algorithms more common today (convolution in particular) to images from standard sensors."
Hiya Quiltman, Please don’t be lost for words on Tata. You’re a great champion of theirs, and rightly so. Thank you for your input.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 !
Imo ,I’m hopeful that Tata Elxsi are to be one of those few future BrainChip ASX sensitive Announcements, that actually could rerate us significantly.
Not thru the financials.
Finger crossed , its sooner than most might consider.
Just my thoughts.
AusEire
Founding Member. It's ok to say No to Dot Joining
robsmark
Regular
Sam
Nothing changes if nothing changes
Yes I have called it out, and I will continue to because everyone has the right to post on this forum without being bullied or belittled.
Sam
Nothing changes if nothing changes
Like bloody magic
Hi HG,My French isn't that good other than repeatedly hearing the word "oui" in some dodgy videos, however take a look at this:
Prophesee part à la conquête de l’IoT et de la réalité immersive avec son nouveau capteur événementiel GenX320
La deeptech parisienne Prophesee dévoile, ce lundi 16 octobre 2023, son nouveau capteur bio-inspiré dénommé GenX320, plus petit que les...-Deeptech
However, one of the paragraphs translated in google says the following
" Synchronous or asynchronous operation
Directly accelerating the processing of event data could involve neuromorphic chips such as those developed by Brainchip (Akida), Intel (Loihi) and many others, some of which are beginning their commercial careers. The spiking neural networks (SNN) that they execute are therefore particularly suited to asynchronous calculations.
“That would be ideal,” recognizes Luca Verre. But, although we collaborate with Brainchip, Synsense and Intel, their chips are not yet mainstream. » Unlike the systems of Qualcomm, Renesas, AMD, etc., optimized to apply AI algorithms more common today (convolution in particular) to images from standard sensors."
I wondered where my plain wrapper videos went.
Damo4
Regular
Compare the above to the below and tell me what's more disruptive to this forum.
If reporting is no longer a function you have been trusted to use then enjoy the forum in all its glory.
wilzy123
Founding Member
Thanks mate. I just reported it.
Sam
Nothing changes if nothing changes
Now now @Damo4 put the rest of wilzy’s posts up
Compare the above to the below and tell me what's more disruptive to this forum.
If reporting is no longer a function you have been trusted to use then enjoy the forum in all its glory.
you’re funny…Now it’s a witch hunt🫠🫠
HopalongPetrovski
I'm Spartacus!
Maybe you only get a report button if you're a paid subscriber???
I'm guessing by the adverts Rob's just using the free version.
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