It’s a good thing that I roll in my sleep.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Fullmoonfever
Top 20
Just get the temporary ones first.lol yr absolutely correct, im not stopping at 5, i made a vouch thingy to myself each $1 a tatt up to 10 then one each 5 and i for one hate pain so easy does it brn
That way if we go over $1 U put one on, go under you wash it off....rinse and repeat till we we to $5 increments....tally em up and get them all done at once
Dhm
Regular
I sent a message to Oculi via their website asking the question. Will report back with anything.
Fact Finder
Top 20
On Saturday my wife sent me a video she had received of our dear little grandson in the UK.
Our grandson is now 18 months and apart from a visit with him last Christmas his relationship with us is via What’s App video calls. He is truly a child of the technology age.
The video was hilarious as our little grandson had noticed a lady on the TV who he thought was nanna. He was calling out nanna louder and louder trying to get her attention and of course she was totally oblivious to his existence and he was becoming increasingly frustrated.
It was as I said hilarious however it caused me to reflect upon what a new and exciting world (if we don’t nuke ourselves first) we are building through the advance of all the sciences.
Professor Barry Marshall in his presentation for Biotome back in 2020 stated that in twenty years time as a result of advances in Ai and medical diagnostics the practice of medicine will be unrecognisable.
Vorago in successfully completing their Phase 1 design to harden AKIDA stated that AKIDA will permit autonomous NASA target speeds for Rover on the Moon and Mars of 20kph.
Prophesee has a sensor that with the inclusion of AKIDA has the potential to create near human vision.
Oculi is planning to use their vision sensor with Ai on drones to search for the injured in disaster scenes.
Edge computing with AKIDA technology is offering the restoration of privacy in your own homes by providing all the benefits of advanced vision and autonomous robotics with unconnected localised processing at extremely low power.
Transportation is being revolutionised with significant steps in place to automate and make safe most aspects of driving through the use of Ai and advanced sensor technologies.
Infrastructure of every description will be made safe by the ability to monitor for developing faults and or maintenance requirements using low cost, extremely low power always on Ai monitoring systems.
Even aircraft will eventually see tens of thousands of sensors with Ai built into the fabric of their surface continuously adjusting to reduce drag and improve fuel efficiency.
Brainchip and other revolutionary technology pioneers are creating a future that we cannot fully imagine but which our children and grandchildren will most likely take for granted just as we take for granted antibiotics, the internal combustion engine and the electric light.
Brainchip is clearly our link to their future.
My opinion only DYOR
FF
AKIDA BALLISTA
Our grandson is now 18 months and apart from a visit with him last Christmas his relationship with us is via What’s App video calls. He is truly a child of the technology age.
The video was hilarious as our little grandson had noticed a lady on the TV who he thought was nanna. He was calling out nanna louder and louder trying to get her attention and of course she was totally oblivious to his existence and he was becoming increasingly frustrated.
It was as I said hilarious however it caused me to reflect upon what a new and exciting world (if we don’t nuke ourselves first) we are building through the advance of all the sciences.
Professor Barry Marshall in his presentation for Biotome back in 2020 stated that in twenty years time as a result of advances in Ai and medical diagnostics the practice of medicine will be unrecognisable.
Vorago in successfully completing their Phase 1 design to harden AKIDA stated that AKIDA will permit autonomous NASA target speeds for Rover on the Moon and Mars of 20kph.
Prophesee has a sensor that with the inclusion of AKIDA has the potential to create near human vision.
Oculi is planning to use their vision sensor with Ai on drones to search for the injured in disaster scenes.
Edge computing with AKIDA technology is offering the restoration of privacy in your own homes by providing all the benefits of advanced vision and autonomous robotics with unconnected localised processing at extremely low power.
Transportation is being revolutionised with significant steps in place to automate and make safe most aspects of driving through the use of Ai and advanced sensor technologies.
Infrastructure of every description will be made safe by the ability to monitor for developing faults and or maintenance requirements using low cost, extremely low power always on Ai monitoring systems.
Even aircraft will eventually see tens of thousands of sensors with Ai built into the fabric of their surface continuously adjusting to reduce drag and improve fuel efficiency.
Brainchip and other revolutionary technology pioneers are creating a future that we cannot fully imagine but which our children and grandchildren will most likely take for granted just as we take for granted antibiotics, the internal combustion engine and the electric light.
Brainchip is clearly our link to their future.
My opinion only DYOR
FF
AKIDA BALLISTA
equanimous
Norse clairvoyant shapeshifter goddess
what about a big brn, akida or robot ken tattoo
Fact Finder
Top 20
I like that Akida 2.0 FF
MDhere
Top 20
no ken robot was next is being replaced by the famous orange kite and i have the rest earmarked which will be a surprise once it then hits $3 and so forth. i actually can't wait til the $3 hits, my mind changes from time to time but will do mercedes proud too as thats what shot us post $2 in the first place. Slowly but surely.
DingoBorat
Slim
Oculi's tech sounds like a very good fit with AKIDA, so there's no need for Company confirmation of what Anil said, in my mind..Then probs like some of these highlights..."agnostic" sounds familiar
CEO Interview: Charbel Rizk of Oculi - Semiwiki
Charbel Rizk is CEO of Oculi®, a spinout from Johns Hopkins University, a fabless semiconductor startup commercializing technology to address the high power and latency challenges of vision technology. Dr. Rizk recognized these as barriers to effective AI in his years of experience as a...semiwiki.com
CEO Interview: Charbel Rizk of Oculi
by Daniel Nenni on 11-19-2021 at 6:00 am
Categories: CEO Interviews
Charbel Rizk is CEO of Oculi®, a spinout from Johns Hopkins University, a fabless semiconductor startup commercializing technology to address the high power and latency challenges of vision technology. Dr. Rizk recognized these as barriers to effective AI in his years of experience as a Principal Systems Engineer, Lead Innovator, and Professor at Rockwell Aerospace, McDonnell Douglas, Boeing, JHUAPL and Johns Hopkins University. The Oculi vision solution reduces latency, bandwidth, and/or power consumption by up to 30x.
Why did you decide to create this technology?
Our original motivation was simply to enable more effective autonomy. Our perspective is that the planet needs the “human eye” in AI for energy efficiency and safety. Machines outperform humans in most tasks but human vision remains far superior despite technology advances. Cameras, being the predominant sensors for machine vision, have mega-pixels of resolution. Advanced processors can perform trillions of operations per second. With this combination, one would expect vision architecture (camera + computer) today to be on par with human vision. However, current technology is as much as ~40,000x behind, when looking at the combination of time and energy wasted in extracting the required information. There is a fundamental tradeoff between time and energy, and most solutions optimize one at the expense of the other. Just like biology, machine vision must generate the “best” actionable information very efficiently (in time and power consumption) from the available signal (photons).
What are the major problems with the current technology available in the market?
Cameras and processors operate very differently compared to the eye+brain combination, largely because they have been historically developed for different purposes. Cameras are for accurate communication and reproduction of a scene. Processors have evolved over time with certain applications in mind, with the primary performance measure being operations per second. The latest trend is domain specific architectures (i.e. custom chips), driven by demand from applications such as image processing.
Another important disconnect, albeit less obvious, is the architecture itself. When a solution is developed from existing components (i.e. off-the-self cameras and processors), it becomes difficult to integrate into a flexible solution and more importantly to dynamically optimize in real-time which is a key aspect of human vision.
As the world of automation grows exponentially and the demand for imaging sensors skyrockets, efficient (time and resources) vision technology becomes even more critical to safety (reducing latency) and to conserving energy.
What are the solutions proposed by Oculi?
Oculi has developed an integrated sensing and processing architecture for imaging or vision applications. Oculi patented technology is agnostic to both the sensing modality on the front end (linear, Geiger, DVS, infrared, depth or TOF) and the post-processing (CPU, GPU, AI Processors…) that follows. We have also demonstrated key IP in silicon that can materialize this architecture into commercial products within 12-18 months.
A processing platform that equals the brain is an important step in matching human perception, but it will not be sufficient to achieve human vision without “eye-like” sensors. In the world of vision technology, the eye represents the power and effectiveness of parallel edge processing and dynamic sensor optimization. The eye not only senses the light, it also performs a good bit of parallel processing and only transfers to the brain relevant information. It also receives feedback signals from the brain to dynamically adjust to changing conditions and/or objectives. Oculi has developed a novel vision architecture that deploys parallel processing and in-memory compute in the pixel (zero-distance between sensing and processing) that delivers up to 30x improvements in efficiency (time and/or energy).
The OCULI SPU™ (Sensing & Processing Unit), is a single chip complete vision solution delivering real-time Vision Intelligence (VI) at the edge with software-defined features and an output compatible with most computer vision ecosystems of tools and algorithms. Being fitted with the IntelliPixel™ technology, the OCULI SPU reduces bandwidth and external post-processing down to ~1% with zero loss of relevant information.
The OCULI SPU S12, Our GEN 1 Go-To-Market product, is the industry’s first integrated neuromorphic (eye+brain) silicon deploying sparse sensing, parallel processing + memory, and dynamic optimization
It offers Efficient Vision Intelligence (VI) that is a prerequisite for effective Artificial Intelligence (AI) for edge applications. OCULI SPU is the first single-chip vision solution on a standard CMOS process that delivers unparalleled selectivity, efficiency, and speed.
There is significant room for improvement in today’s products by simply optimizing the architecture, in particular the signal processing chain from capture to action, and human vision is a perfect example of what’s possible. At Oculi, we have developed a new architecture for computer and machine vision that promises efficiency on par with human vision but outperforms in speed.
Do you want to talk about the potential markets? R&D?
We have developed a healthy pipeline of customers/partners engagements over a variety of markets from industrial and intelligent transportation to consumers to automotive. Our initial focus is on edge applications for eye, gesture, and face tracking for interactive/smart display and AR/VR markets. These are near term market opportunities with high volume and Oculi technology offers a clear competitive edge. As biology and nature have been the inspiration for much of the technology innovations, developing imaging technology that mimics human vision in efficiency but outperforms in speed is a logical path. It is a low hanging fruit (performance versus price) as Oculi has successfully demonstrated in multiple paid pilot projects with large international customers. Also unlike photos and videos we collect for personal consumption, machine vision is not about pretty images and the most number of pixels.
Not that it really affects us though, but isn't this upstart in computer vision, going head to head with our vision partner Prophesee?
I guess if you want to be in the "New Tech" game, AKIDA itself will be the "secret sauce"?..
Fact Finder
Top 20
Being ubiquitous is to also be promiscuous.
robsmark
Regular
A few years time and you’ll look like @chapman89
Fullmoonfever
Top 20
Guess they can go head to head in their space and if no exclusivity agreements in place with us then open slather as to who wishes to integrate our IP imo.
Both event based but appear slightly diff tech to my layman's eyes (no pun intended haha) so if our underlying processing is a strong fit for that style of vision, which appears is, then awesome.
Good for us if snag both
alwaysgreen
Top 20
Guess they can go head to head in their space and if no exclusivity agreements in place with us then open slather as to who wishes to integrate our IP imo.
Both event based but appear slightly diff tech to my layman's eyes (no pun intended haha) so if our underlying processing is a strong fit for that style of vision, which appears is, then awesome.
Good for us if snag both
I believe there's a lot of slathering going on in such a promiscuous environment.
Inivation has recently won a best sensor award. I haven’t looked into them yet to see partners etc but it looks like they have some products developed
inivation.com
www.foveator.ai
https://www.fierceelectronics.com/sensors/inivation-wins-best-sensors-2022-its-dynamic-vision-sensor
Foveator Eye
Solutions Foveator Eye Extreme eye tracking for the most immersive AR and VR experience <3 ms latency <1.0° accuracy Low power Up to 1 kHz update rate Foveator Eye
inivation.com
Foveator – Extreme Eye Tracking
World’s fastest eye tracking enabling the most immersive VR experience. Near-zero eye tracking latency. Maximum immersion.
www.foveator.ai
chapman89
Founding Member
Ok ok. If we are above $2 by end of year I’ll get the robot on melol yr absolutely correct, im not stopping at 5, i made a vouch thingy to myself each $1 a tatt up to 10 then one each 5 and i for one hate pain so easy does it brn
Exactly.Being ubiquitous is to also be promiscuous.
Brainchip just needs someone to commit and get the ball rolling by actually producing a chip that includes licensed Akida IP.
If Oculi has 250,000 orders for this chip, to be used in factories or packaging now, then I'll take it.
Fact Finder
Top 20
Remember what the Acting CEO Peter van der Made before the invasion of Ukraine, learning to live with Covid and US inflation became realities.
We would see ‘explosive sales’ in the second half of 2022.
Perhaps the iceberg is starting to reveal itself.
My opinion only DYOR
FF
AKIDA BALLISTA
VictorG
Member
I agree there are a few Wally's, some are easy to find and some Wally's are lost forever, never to be found. At the moment I have a few Wally's at work and I'm in no need of another, but I know where to look should I need one.That’s easy. MF. Actually there are quite a few so which one are you after?
alwaysgreen
Top 20
Ok ok. If we are above $2 by end of year I’ll get the robot on me
I already got my BRAYNCHIP tattoo. Can't wait to show everyone at the AGM
Fullmoonfever
Top 20
Could be totally wrong but gist I get for their Oculi tech from the patent that @Diogenese also found is driven around the pixel identification and changes and they speak of the vision component primarily that needs to dovetail into an AI processing aspect maybe?
Driven around threshold values and trigger signals...presumably on pixel changes?
So, question is for me is, who's AI is doing the backend processing?
Appears they need an AI processor / IP maybe to be in that SPU.
The only reference to AI per se was a comment in the patent and quite generic. Nothing on neural or neuromorphic, SNN, DNN, CNN etc.
Only reference I can find so far to neuromorphic is their site but patent and TM applications etc so far don't show any of their own neuromorphic work so logic indicates sourcing elsewhere....whether us or not is to be formally confirmed, I guess.
www.oculi.ai
Oculi makes the OCULI SPU™, Sensing and Processing Unit. This is the only Software-Defined Vision Sensor™ and it can deliver real-time vision intelligence (VI) by combining sensing + pre-processing in the pixel.
www.freepatentsonline.com
A sensing and processing electronic circuit includes a sensing array having a plurality of sensing elements each having a sensor configured to produce an output signal in response to detection of an environmental parameter. The circuit includes a triggering unit configured to generate a trigger signal that causes an action to occur. The trigger signal is generated based on selected activated sensing elements satisfying one or more specifiable conditions. A sensing element is activated when a characteristic value based on the output value of the sensing element crosses one or more thresholds so that the characteristic value is above, below, within or outside of a specified range of values or when a difference value between the characteristic value and a previous or template value of the sensing element crosses one or more thresholds so that the difference value is above, below, within or outside of a specified range of values.
or it may be more convenient to construct a specialized apparatus or system to perform the required methods and techniques. In some cases the environments in which various embodiments described herein are implemented may employ machine-learning and/or artificial intelligence techniques to perform the required methods and techniques.
They also applied for a more recent TM for a Software-Defined Vision Sensor with a dummy board by the looks so unfortunately no Akida identifier **sad face** haha
Was interesting to see the first use anywhere & first use commerce dates in the application.
uspto.report
The literal element of the mark consists of Software-Defined Vision Sensor. The mark consists of standard characters, without claim to any particular font style, size, or color.
The applicant, Fris Inc, DBA Oculi, a corporation of Delaware, having an address of
5520 Research Park Drive, Suite 100
5520 Research Park Drive, Suite 100
Baltimore, Maryland 21228
United States
410-205-5513(phone)
XXXX
requests registration of the trademark/service mark identified above in the United States Patent and Trademark Office on the Principal Register established by the Act of July 5, 1946 (15 U.S.C. Section 1051 et seq.), as amended, for the following:
For specific filing basis information for each item, you must view the display within the Input Table.
International Class 009: Semi-conductors; Semiconductor chip sets; Semiconductor chips; Semiconductor devices; Semiconductor wafers; Semiconductors; Electronic semi-conductors
In International Class 009, the mark was first used by the applicant or the applicant's related company or licensee or predecessor in interest at least as early as 12/08/2021, and first used in commerce at least as early as 12/10/2021, and is now in use in such commerce. The applicant is submitting one(or more) specimen(s) showing the mark as used in commerce on or in connection with any item in the class of listed goods/services, consisting of a Board with statement on it: Software-Defined Vision Sensor.
Specimen File1
Specimen File2
Webpage URL: www.oculi.ai
Webpage Date of Access: 12/10/2021
Mar 22 TinyML presso slide.
Driven around threshold values and trigger signals...presumably on pixel changes?
So, question is for me is, who's AI is doing the backend processing?
Appears they need an AI processor / IP maybe to be in that SPU.
The only reference to AI per se was a comment in the patent and quite generic. Nothing on neural or neuromorphic, SNN, DNN, CNN etc.
Only reference I can find so far to neuromorphic is their site but patent and TM applications etc so far don't show any of their own neuromorphic work so logic indicates sourcing elsewhere....whether us or not is to be formally confirmed, I guess.
Our Technology-V1 | Oculi
www.oculi.ai
OCULI SPU™: Integrated Neuromorphic Sensing & Processing
Oculi makes the OCULI SPU™, Sensing and Processing Unit. This is the only Software-Defined Vision Sensor™ and it can deliver real-time vision intelligence (VI) by combining sensing + pre-processing in the pixel.
SENSING AND PROCESSING UNIT GENERATING A TRIGGER SIGNAL UPON OCCURRENCE OF SPECIFIED CONDITIONS - Fris, Inc.
<div p-id="p-0001">A sensing and processing electronic circuit includes a sensing array having a plurality of sensing elements each having a sensor configured to produce an output signal in response t
A sensing and processing electronic circuit includes a sensing array having a plurality of sensing elements each having a sensor configured to produce an output signal in response to detection of an environmental parameter. The circuit includes a triggering unit configured to generate a trigger signal that causes an action to occur. The trigger signal is generated based on selected activated sensing elements satisfying one or more specifiable conditions. A sensing element is activated when a characteristic value based on the output value of the sensing element crosses one or more thresholds so that the characteristic value is above, below, within or outside of a specified range of values or when a difference value between the characteristic value and a previous or template value of the sensing element crosses one or more thresholds so that the difference value is above, below, within or outside of a specified range of values.
or it may be more convenient to construct a specialized apparatus or system to perform the required methods and techniques. In some cases the environments in which various embodiments described herein are implemented may employ machine-learning and/or artificial intelligence techniques to perform the required methods and techniques.
They also applied for a more recent TM for a Software-Defined Vision Sensor with a dummy board by the looks so unfortunately no Akida identifier **sad face** haha
Was interesting to see the first use anywhere & first use commerce dates in the application.
Application for Software-defined Vision Sensor
Trademark registration supporting document for Application regarding SOFTWARE-DEFINED VISION SENSOR registered by Fris Inc
uspto.report
Trademark/Service Mark Application, Principal Register
| Serial Number: 97415842 |
| Filing Date: 05/18/2022 |
To the Commissioner for Trademarks:
MARK: Software-Defined Vision Sensor (Standard Characters, see mark)The literal element of the mark consists of Software-Defined Vision Sensor. The mark consists of standard characters, without claim to any particular font style, size, or color.
The applicant, Fris Inc, DBA Oculi, a corporation of Delaware, having an address of
5520 Research Park Drive, Suite 100
5520 Research Park Drive, Suite 100
Baltimore, Maryland 21228
United States
410-205-5513(phone)
XXXX
requests registration of the trademark/service mark identified above in the United States Patent and Trademark Office on the Principal Register established by the Act of July 5, 1946 (15 U.S.C. Section 1051 et seq.), as amended, for the following:
For specific filing basis information for each item, you must view the display within the Input Table.
International Class 009: Semi-conductors; Semiconductor chip sets; Semiconductor chips; Semiconductor devices; Semiconductor wafers; Semiconductors; Electronic semi-conductors
In International Class 009, the mark was first used by the applicant or the applicant's related company or licensee or predecessor in interest at least as early as 12/08/2021, and first used in commerce at least as early as 12/10/2021, and is now in use in such commerce. The applicant is submitting one(or more) specimen(s) showing the mark as used in commerce on or in connection with any item in the class of listed goods/services, consisting of a
Board with statement on it: Software-Defined Vision Sensor.Specimen File1
Specimen File2
Webpage URL: www.oculi.ai
Webpage Date of Access: 12/10/2021
MARK INFORMATION | |
|---|---|
APPLICANT INFORMATION | |
LEGAL ENTITY INFORMATION | |
GOODS AND/OR SERVICES AND BASIS INFORMATION | |
CORRESPONDENCE INFORMATION | |
FEE INFORMATION | |
SIGNATURE INFORMATION | |
| Input Field | Entered |
SERIAL NUMBER | 97415842 |
*MARK | Software-Defined Vision Sensor |
STANDARD CHARACTERS | YES |
USPTO-GENERATED IMAGE | YES |
LITERAL ELEMENT | Software-Defined Vision Sensor |
MARK STATEMENT | The mark consists of standard characters, without claim to any particular font style, size, or color. |
REGISTER | Principal |
*OWNER OF MARK | Fris Inc |
DBA/AKA/TA/Formerly | DBA Oculi |
INTERNAL ADDRESS | 5520 Research Park Drive, Suite 100 |
*MAILING ADDRESS | 5520 Research Park Drive, Suite 100 |
*CITY | Baltimore |
*STATE (Required for U.S. applicants) | Maryland |
*COUNTRY/REGION/JURISDICTION/U.S. TERRITORY | United States |
*ZIP/POSTAL CODE (Required for U.S. and certain international addresses) | 21228 |
PHONE | 410-205-5513 |
*EMAIL ADDRESS | XXXX |
WEBSITE ADDRESS | www.oculi.ai |
TYPE | corporation |
STATE/COUNTRY/REGION/JURISDICTION/U.S. TERRITORY OF INCORPORATION | Delaware |
INTERNATIONAL CLASS | 009 |
*IDENTIFICATION | Semi-conductors; Semiconductor chip sets; Semiconductor chips; Semiconductor devices; Semiconductor wafers; Semiconductors; Electronic semi-conductors |
FILING BASIS | SECTION 1(a) |
FIRST USE ANYWHERE DATE | At least as early as 12/08/2021 |
FIRST USE IN COMMERCE DATE | At least as early as 12/10/2021 |
SPECIMEN FILE NAME(S) | \\TICRS\EXPORT18\IMAGEOUT 18\974\158\97415842\xml1 \ APP0003.JPG |
| \\TICRS\EXPORT18\IMAGEOUT 18\974\158\97415842\xml1 \ APP0004.JPG |
SPECIMEN DESCRIPTION | Board with statement on it: Software-Defined Vision Sensor |
WEBPAGE URL | www.oculi.ai |
WEBPAGE DATE OF ACCESS | 12/10/2021 |
NAME | Fris Inc |
PRIMARY EMAIL ADDRESS FOR CORRESPONDENCE | info@oculi.ai |
SECONDARY EMAIL ADDRESS(ES) (COURTESY COPIES) | sana.kouatly@oculi.ai; charbel.rizk@oculi.ai |
APPLICATION FILING OPTION | TEAS Standard |
NUMBER OF CLASSES | 1 |
APPLICATION FOR REGISTRATION PER CLASS | 350 |
*TOTAL FEES DUE | 350 |
*TOTAL FEES PAID | 350 |
SIGNATURE | NOT PROVIDED |
SIGNATORY'S NAME | NOT PROVIDED |
SIGNATORY'S POSITION | NOT PROVIDED |
DATE SIGNED | NOT PROVIDED |
Mar 22 TinyML presso slide.
Last edited:
Similar threads
