BRN Discussion Ongoing

[Fact Finder]

Somebdoy is bullish on Brainchip.
Check out what he said-

View attachment 32610

Where is this person Chief Product Officer? Is it First Data?
Regards
FF

 

[Deleted member 118]

Lassen Peak Raises $16,000,000 in Series A Funding for Weapons Search Technology Strategic Round Included to Address Knife-Crime Applications in the United Kingdom and Abroad October 13, 2022 — Bellevue, WA —

Today, Lassen Peak announced the completion of Series A financing rounds, totaling over $16,000,000. The Series A and strategic A1 rounds were led, respectively, by Octave Ventures and an undisclosed strategic investor.

In addition, Lauder Partners, Alpha Intelligence Capital, Orbit Venture Partners, and other strategic investors participated in the investments. Lassen Peak is developing the world’s first fully-integrated handheld radar system for concealed weapon detection that can be conducted anywhere in the field for use in law enforcement, military, and private venue applications.

Addressing one of the single biggest threats to law enforcement personnel as they work to provide public safety and security, physical weapon searches or ‘pat downs’ are highly dangerous for individuals conducting the search, as well as the individuals being searched. Based on the close physical proximity and contentious nature of the physical contact, the serious threat of concealed weapons creates an emotionally charged interaction whether weapons exist or not – this tense scenario and invasive physical pat down can lead to a dangerous escalation of use-of-force that may result in serious injury or death.

Over the past year, Lassen Peak has assembled a diverse advisor and committee leadership that formerly held key positions in America’s top law enforcement and civil rights organizations, including roles of ACLU General Counsel, President of the National Organization of Black Law Enforcement Executives, CIO of the United States Government, LAPD Commanding Officer, Congressional Black Caucus Executive Director, President of the National Association of Women Law Enforcement Executives, Board Member of the National Association of Civilian Oversight of Law Enforcement, and others. Lassen Peak CEO and Chairman of the Board, Hatch Graham, states “This diverse assemblage of perspectives assists the company in its development of a solution that serves all stakeholders pursuing safety and trust within the field of public safety.

Series A capital will provide resources to bring the vision to reality as the company approaches Pilots in 2023.” Unlike more traditional concealed weapon detection systems, such as airport walk-through scanners, Lassen Peak is developing handheld technology that will allow highly accurate weapon detection to be conducted anywhere in the field, at a reasonably safe distance, and without physical contact – all while providing safeguards that protect civil rights and privacy, and while offering a path to a greater level of accountability than today’s manual patdowns.

Abroad, in countries where knife crimes have risen to alarming levels, Lassen Peak’s technology will have similar benefits. Paul Negus, United Kingdom Managing Director for Lassen Peak states, “knife crime in the U.K. has risen to over 49,000 offenses per year, which in perspective, equates to truly epidemic proportions. Consequently, handheld technology capable of detecting illegally concealed bladed weapons is a priority for U.K. law enforcement at the national Home Office level.

Our Series A1 strategic capital will assist law enforcement and the national Task Forces in their efforts to mitigate the growing trend of concealed bladed weapons.” Lassen Peak recently received and successfully validated its proprietary Radar-System-On-Chip (RSOC) – this device will be at the core of Lassen Peak’s patent-pending handheld system. The RSOC architecture provides an industry breakthrough in both lateral and range precision necessary to distinguish key identifiers of dangerous weapons and objects, such as the detailed characteristics of guns and knives, while also discerning among items that do not pose a threat.

In addition, the handheld scanner is being designed with safety in mind, operating at a fraction of the power levels of a standard cellphone and at radio frequencies harmless to humans. About Lassen Peak Lassen Peak is a Seattle-area startup founded in 2019, which comprises a unique blend of industry technology leaders in ultra-highspeed wireless, imaging radar, geo-positioning and other technologies, public safety veterans in law enforcement, military, and high fan-volume entertainment industries, and civil rights and social justice leaders.

Matching advanced technologies with the need for a transformation in public safety solutions in the field, the team is committed to providing law enforcement and society with safe and less contentious alternatives to the legacy methods of identifying concealed dangerous objects and weapons. http://www.lassenpeak.com ### Media Contact: Brian Shockley

In my opinion the IP licence reveal and the above two highlighted facts make it clear that Brainchip AKIDA technology is at the heart.

My opinion only DYOR
FF

AKIDA BALLISTA

Off topic, but I left with the UK in 2008 with my family, due to knife crime and it not being safe for kids to go out anymore. Hope they can find something for acid attacks as well as that’s common now in the UK.

 

[chapman89]

Where is this person Chief Product Officer? Is it First Data?
Regards
FF

 

[Deleted member 118]

View attachment 32611

https://mobile.twitter.com/JRomeMyers

 

[chapman89]

https://mobile.twitter.com/JRomeMyers

 

[Shadow59]

LAW ENFORCEMENT & MILITARY​

Lassen Peak’s solution will improve safety and the overall experience for everyone by allowing for highly accurate weapon detection to be conducted at a safe distance – avoiding potential conflict, eliminating escalation to use of force in situations where there is no threat, and providing for a more dignified and respectful experience for all​

• No-contact, less invasive, conducted at a safe distance​

• Prevents escalation to use of force​

• Ensures accountability and transparency through automated log​

• Fosters trust and safety between police and communities​

• Respects personal privacy and civil rights​

The addressable market for this technology is huge. Imagine it being incorporated into home security systems where it can detect that the person outside your front door seeking entry is carrying a weapon. ​

​

Detecting weapons on patrons of mass sporting or entertainment venues. Detecting weapons on travellers entering airports unobtrusively at multiple points during the process of ticketing right through to boarding of planes.

My opinion only but startup or not it has $16 million US to get the technology ball rolling.

Where is @Diogenese we need an urgent patent search.

My opinion only DYOR
FF

AKIDA BALLISTA

This is a massive find of an effectively new industry for Akida usage! One of those usage cases that previously didn't exist!

 

[Fact Finder]

View attachment 32611

The reference to First Data has value though when you consider the following:

"What happened First Data?

The big deal is now complete: Fiserv announced this morning (July 29) that it has completed its acquisition of First Data Corporation. The two massive firms first inked the deal earlier this year, which will see Fiserv purchase First Data for $22 billion in an all-stock transaction.29 July 2019

Fiserv-First Data Merger Is Complete - PYMNTS.com​

https://www.pymnts.com/news/partnerships-acquisitions/2019/fiserv-first-data-merger-complete/#:~:text=The big deal is now,in an all-stock transaction.
pymnts.com
https://www.pymnts.com › partnerships-acquisitions › fis...
https://www.pymnts.com/news/partnerships-acquisitions/2019/fiserv-first-data-merger-complete/#:~:text=The big deal is now,in an all-stock transaction.
It strikes me that if a company as large as First Data (was $US22 billion in 2019) has carried out a survey of customers and they prefer to keep their data on device then now as Fiserv this is going to be influential when advising other companies.

My opinion only DYOR
FF

AKIDA BALLISTAhttps://www.pymnts.com/news/partnerships-acquisitions/2019/fiserv-first-data-merger-complete/#:~:text=The big deal is now,in an all-stock transaction.

 

[rgupta]

Here is another thought.

In an early video by Alex the Rocket Scientist he stated that he considers Autonomous Vehicles, Drones etc as nothing more than robots. The point being that the same technology that will allow robots to function autonomously will be what makes autonomous vehicles possible.

So if you accept this logic how significant was the reveal by ANT61 that they were using AKIDA technology as the brain to allow their robot to act autonomously in space for the purpose of maintaining and repairing space craft.

Think about this idea. If ANT61 can do this using AKIDA technology in space would not AKIDA be able to hit valet parking in parking stations for six without the need for parking stations to install costly supporting infrastructure.

Would not AKIDA be able to undertake low speed hands off the wheel driving in congested tunnels or remote locations with poor connection like my carport here in Sydney.

My opinion only DYOR
FF

AKIDA BALLISTA

the only difference here is in space there is no incoming traffic, no dependence upon behaviour of their drivers, no other road users, no traffic laws, no speed limits, no traffic lights and a lot more which is absent.
The robert is programmed to find and repair a fault. So similarly an autonomous car is a very job as long as other users are not existent.
DYOR

 

[Fact Finder]

the only difference here is in space there is no incoming traffic, no dependence upon behaviour of their drivers, no other road users, no traffic laws, no speed limits, no traffic lights and a lot more which is absent.
The robert is programmed to find and repair a fault. So similarly an autonomous car is a very job as long as other users are not existent.
DYOR

I think you need to read what they say their robot is capable of doing which is learning and adapting to its environment.

Being powered by AKIDA it is not trained as you have suggested.

Indeed in every presentation made by Peter van der Made and Anil Mankar over many years now they make the point over and over again that AKIDA is not trained.

While you suggest a static environment in which this robot is operating this is hardly the situation it will be encountering in space. If you can predict the precise nature of the repair that will be required you do not need the robot at all because you redesign that part of the space vehicle so that it will not require repair. The repairs that are to be fixed are not routine maintenance they are as a result of damage or unexpected failures. They need to be located and a method to repair them worked out and then implemented in real time under extreme conditions while the space craft is travelling at thousands of kilometres per hour.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Dang Son]

This guy achieved 10% gain in one month programming trading using GPT Bot, over a period of eighteen months that could be better than nothing as we on the bus have seen.

 

[Fact Finder]

This guy achieved 10% gain in one month programming trading using GPT Bot, over a period of eighteen months that could be better than nothing as we on the bus have seen.

And this is why what I will call retail traders are a dying breed. Technology will out trade human traders and the bigger and better the computer being used the faster and more efficient it will be and the retail trader will disappear. The large institutions already have direct access close to the ASX under licence and as Ai fully integrates into their systems retail traders have no hope. The only future for retail shareholders will be by doing their research, backing their judgement and holding long as retail once did. It will be back to the future for successful retail shareholders.

I expect that there will be limited opportunities even for manipulators in the future as a result. The Ai powered trading computers will not need their services and will over time act together as a giant cartel to maximise their profits and no one will be any the wiser.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Townyj]

This is a great find @DaBenjamins and I think you have exposed that a licence has been sold to Lassen Peak - https://www.lassenpeak.com/

I think it is for a handheld weapon detector. Lassen Peak seems to be a very well connected Defence Industry company and it may well be that the failure to release details was prevented by US Law regarding homeland security.

In any event Lassen Peak is the company in my opinion based on the fine print in the following. So now over to the 1000 Eyes.

View attachment 32605
Mike Cromartie

Business Development at Lassen Peak

Join to edit

About

Mike Cromartie has a long and varied career in business development. Mike began their career in 1998 as the Director of the Western Region for NEC Electronics, where they managed a team of 18 and was responsible for $350M in annual sales. In 2001, Mike moved to a Processor IP Company as the VP of WW Sales, where they increased license revenue from $1.4M to $4M. In 2003, Mike became the Silicon Valley Regional Sales Manager for Fujitsu, focusing on ASIC with Networking, Communication and Storage Verticals, as well as FPD with ELO Touch, DELL, ViewSonic, Phillips, IGT, and National Display Systems. In 2005, Mike joined Transmeta as the Director of Efficeon Programs, partnering with Microsoft on Business Development/Program Management activity on the FlexGo Emerging Markets Desk Top Computer. In 2007, Mike became the Director of Sales - Silicon Valley for Tensilica, responsible for Processor IP and Audio/Video Codec licensing to Major OEMs and Systems Companies in the Western US. In 2016, Mike moved to Sharp Microelectronics of the Americas as the Sr. Global Account Manager, responsible for sales and support of Imaging Products and Custom LCD Displays to Google, Facebook and Essential (Playground Global). In 2019, Mike became the Founder of Unival Sales and Service, a Business Development SoC Intellectual Property and Project Based Funding company, and also joined Zocial.io as the Business Development - Blockchain based Application Software. Finally, in 2020, Mike joined Lassen Peak as the Business Development.

Mike Cromartie attended California State University, Stanislaus, and obtained a Learning LinkedIn Recruiter certification from LinkedIn in March 2019.

My opinion only so DYOR
FF

AKIDA BALLISTA

Looks like he is working 2 Jobs... Lassenpeak and Unival Sales and Service. Going from the dates he has only been working with Brainchip/Akida since January this Year.

 

[Fact Finder]

Looks like he is working 2 Jobs... Lassenpeak and Unival Sales and Service. Going from the dates he has only been working with Brainchip/Akida since January this Year.

My take is he discovered Brainchip while working for Lassen Peak and running his private consultancy. He discovered Brainchip because Lassen Peak are licencing AKIDA for their ultra low powered handheld weapon detection device. In consequence of the relationship he was able to convince Brainchip or they approached him to act as an agent for Brainchip IP via his private consultancy and he commenced doing so from January, 2023.

I could be wrong and this is why I am hanging out for @Diogenese to run his eye over the patent lodged by Lassen Peak. Fingers very tightly crossed.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[DollazAndSense]

My take is he discovered Brainchip while working for Lassen Peak and running his private consultancy. He discovered Brainchip because Lassen Peak are licencing AKIDA for their ultra low powered handheld weapon detection device. In consequence of the relationship he was able to convince Brainchip or they approached him to act as an agent for Brainchip IP via his private consultancy and he commenced doing so from January, 2023.

I could be wrong and this is why I am hanging out for @Diogenese to run his eye over the patent lodged by Lassen Peak. Fingers very tightly crossed.

My opinion only DYOR
FF

AKIDA BALLISTA

The wording in their FAQ indeed has signs of Akidaitis...

How will AI be used in the product?
'AI will be used in the product to analyze the radar image and look for anomalies – things that do not appear to be part of the human body. Then, the AI will look at those objects in an attempt to assess the level of threat the object poses – what is the relative size of the object, what material does it appear to be, where is it on the person’s body, and what characteristics does the object have (sharp point, trigger, etc). The AI will essentially work much like our own human brains work as we look at things and classify them. Many different attributes are examined for every object, and AI improves over time as it “sees” more image data.'

 

[Townyj]

My take is he discovered Brainchip while working for Lassen Peak and running his private consultancy. He discovered Brainchip because Lassen Peak are licencing AKIDA for their ultra low powered handheld weapon detection device. In consequence of the relationship he was able to convince Brainchip or they approached him to act as an agent for Brainchip IP via his private consultancy and he commenced doing so from January, 2023.

I could be wrong and this is why I am hanging out for @Diogenese to run his eye over the patent lodged by Lassen Peak. Fingers very tightly crossed.

My opinion only DYOR
FF

AKIDA BALLISTA

Fair enough That would be the best case scenario for sure.

Maybe... ummm our local "Verification Engineer" could get into contact with him and find out some details.. *cough *cough* @chapman89

 

[chapman89]

Fair enough That would be the best case scenario for sure.

Maybe... ummm our local "Verification Engineer" could get into contact with him and find out some details.. *cough *cough* @chapman89

I’m waiting for him to accept my invite

 

[Fact Finder]

The wording in their FAQ indeed has signs of Akidaitis...

How will AI be used in the product?
'AI will be used in the product to analyze the radar image and look for anomalies – things that do not appear to be part of the human body. Then, the AI will look at those objects in an attempt to assess the level of threat the object poses – what is the relative size of the object, what material does it appear to be, where is it on the person’s body, and what characteristics does the object have (sharp point, trigger, etc). The AI will essentially work much like our own human brains work as we look at things and classify them. Many different attributes are examined for every object, and AI improves over time as it “sees” more image data.'

I have extracted the following from the patent which fits nicely with your FAQ @DollarsAndSense

"The RSOC consists of two major functions: 1) A transmitter that produces the radar signal and initiates the scan and 2) a receiver that receives the reflected signal and recovers differential phase and frequency information, and provides that information to the digital processing system.



The apparatus can include sufficient local storage and processing power for operating independent of a network.



At 203, in an embodiment, the analog signal from the scan is converted to a digital format using one or more analog-to-digital converters (ADCs) to create a digital image that can be forwarded to the processing complex of the apparatus. In an embodiment, the process of scanning and creating an image can be repeated a predetermined number of times (programmed into the apparatus or selected by the user) creating multiple digital images.



Upon completion of a search, at 211, post-session processing takes place. This processing can include all or some of the following: tagging images or videos with metadata, gathering and uploading metadata, generating a report, providing a digital signature or certificate, archiving, and uploading the data (both received and processed) and metadata. In this step, images can be cryptographically tagged with various metadata and transmitted and stored on the device, or can be uploaded for further processing. If a data repository is used (e.g., a cloud-based database or an online server), the images, videos, and metadata can be stored there. Examples of metadata can include (but are not limited to) time stamps, geolocation data, device data, customer specific information (user, associated visual images), networked or connected devices, voice recordings, and session information. In an embodiment, a web-based service can be implements using public cloud infrastructure and services such as those provided by (but not limited to) AWS, Azure, and GCP.



At 404, once the objects have been normalized, the resultant image is transferred to an AI engine for pattern matching against known threats and then calculating the likelihood that the input data is a threat. As part of the image processing, in an embodiment, the apparatus performs an image search to match detected shapes against a prebuilt local image threat library, or a mathematical model representing such images, and makes a threat determination using parameters such as shape type, size, type of weapon, confidence level, contrast, and other parameters. Entries in the threat library can include some or all of the following: guns, knives, bombs and bomb vests, clubs, truncheons, bottles, and other objects of interest. In an embodiment, once a preliminary determination has been made that a weapon is suspected, the apparatus will focus in on the suspected weapon(s) and providing better image resolution to improving the detection confidence. In an embodiment, privacy filtering processing is applied, thus ensuring all locally storage body images are obfuscated as part of the image processing described in FIG. 3."

The diagrams which for some reason I cannot persuade to copy show that the Ai Engine at 404 is a completely discrete device from the other two processors at 103 & 104.

These coincidences are just too convenient in my opinion and I personally am satisfied that they are using AKIDA as the Ai Engine unless @Diogenese finds something in the patent to tear asunder my conclusion.

My opinion only DYOR
FF

AKIDA BALLISTA

 

[Fact Finder]

I’m waiting for him to accept my invite

I think Brainchip may have alerted him to the risks associated with verification engineers.

 

[Kachoo]

I have extracted the following from the patent which fits nicely with your FAQ @DollarsAndSense

"The RSOC consists of two major functions: 1) A transmitter that produces the radar signal and initiates the scan and 2) a receiver that receives the reflected signal and recovers differential phase and frequency information, and provides that information to the digital processing system.



The apparatus can include sufficient local storage and processing power for operating independent of a network.



At 203, in an embodiment, the analog signal from the scan is converted to a digital format using one or more analog-to-digital converters (ADCs) to create a digital image that can be forwarded to the processing complex of the apparatus. In an embodiment, the process of scanning and creating an image can be repeated a predetermined number of times (programmed into the apparatus or selected by the user) creating multiple digital images.



Upon completion of a search, at 211, post-session processing takes place. This processing can include all or some of the following: tagging images or videos with metadata, gathering and uploading metadata, generating a report, providing a digital signature or certificate, archiving, and uploading the data (both received and processed) and metadata. In this step, images can be cryptographically tagged with various metadata and transmitted and stored on the device, or can be uploaded for further processing. If a data repository is used (e.g., a cloud-based database or an online server), the images, videos, and metadata can be stored there. Examples of metadata can include (but are not limited to) time stamps, geolocation data, device data, customer specific information (user, associated visual images), networked or connected devices, voice recordings, and session information. In an embodiment, a web-based service can be implements using public cloud infrastructure and services such as those provided by (but not limited to) AWS, Azure, and GCP.



At 404, once the objects have been normalized, the resultant image is transferred to an AI engine for pattern matching against known threats and then calculating the likelihood that the input data is a threat. As part of the image processing, in an embodiment, the apparatus performs an image search to match detected shapes against a prebuilt local image threat library, or a mathematical model representing such images, and makes a threat determination using parameters such as shape type, size, type of weapon, confidence level, contrast, and other parameters. Entries in the threat library can include some or all of the following: guns, knives, bombs and bomb vests, clubs, truncheons, bottles, and other objects of interest. In an embodiment, once a preliminary determination has been made that a weapon is suspected, the apparatus will focus in on the suspected weapon(s) and providing better image resolution to improving the detection confidence. In an embodiment, privacy filtering processing is applied, thus ensuring all locally storage body images are obfuscated as part of the image processing described in FIG. 3."

The diagrams which for some reason I cannot persuade to copy show that the Ai Engine at 404 is a completely discrete device from the other two processors at 103 & 104.

These coincidences are just too convenient in my opinion and I personally am satisfied that they are using AKIDA as the Ai Engine unless @Diogenese finds something in the patent to tear asunder my conclusion.

My opinion only DYOR
FF

AKIDA BALLISTA

I wonder if you could also add in a facial monitoring sensor that can also assist in the identification of the nervous nelly!

This has a so many spinoffs.

Pattern recognition and probably out comes can assist in many fields.

Let's hope the Ogar is gental.

 

[Boab]

I wonder if you could also add in a facial monitoring sensor that can also assist in the identification of the nervous nelly!

This has a so many spinoffs.

Pattern recognition and probably out comes can assist in many fields.

Let's hope the Ogar is gental.

I want to see the Oooph meter turned up to Max