BRN Discussion Ongoing

[thelittleshort]

Might be a bit busy with the Ukraine crisis. Ok that's enough shitposting from me today

Ha ha where’s the eye roll emoji

 

[Stable Genius]

I found this over on HC on the SBW (Shekel Brainweigh Ltd) thread, thanks to @Verce whoever you are. Looks like a few different parties involved - Edgify, Flooid, Shekel and LF Edge HP, IOTech and Intel.

Maybe @Diogenese could take an ogres ogle at the patents to see what's going on?








If you are interested in reading up on some of their patents, please see this link:

https://patents.justia.com/search?q=Shekel scales

I found 11 separate patents here, which are probably not an exhaustive list, but ranging from weighing vehicles in motion, to load cell devices (this is the flagship technology), point of sale apparatus and infant weight systems (for their medical customers)

SBW's three main technology pillars, including patented ultra-thin high precision load sensors, can distinguish between Coke, Fanta & Pepsi - even if they are all in 1.5 litre bottles!



The Hitachi Project (Hitachi’s Market Cap = roughly ~33 billion USD at time of writing, SBW = ~45 million AUD)



http://hlds.co.jp/product-eng/1079

[Translated from Japanese] Hitachi-LG Data Storage. Inc. exhibited in “NRF 2020 Retail’s Big Show” which took place at Jacob K. Javits Convention Center in New York from 1/12-1/14/2020, where Unmanned Store solution using 3D LiDAR(TOF) was jointly exhibited with Hitachi America, Hitachi Vantara, and Shekel Brainweigh (Israel).






Some quotes I found from Hitachi themselves

“Micro-markets are the fastest growing segment of convenience shopping. We see them exploding in high traffic areas, such as workplaces, campuses, train stations and airports,” said Hideki Hayashi, Sales and Marketing Manager, Hitachi EU Ltd.

“Deploying the joint Shekel-Hitachi solution enables retailers and micro-market operators to provide the 24/7 frictionless shopping experience consumers demand without sacrificing accuracy, performance or profitability.”

“As the manager responsible for LiDAR products in EMEA markets, I consider the R&D and commercial collaboration with Shekel Brainweigh to be the perfect partnership as we both bring our respective capabilities to develop a seamless consumer shopping experience. We are extremely pleased to collaborate with Shekel Brainweigh, which we believe is the best digital weighing technology developer globally."

“The collaboration builds on our expertise in optical motion sensors, together with Shekel’s advanced Product Aware Technology, and further strengthens our commitment to overcome the challenges, and address the significant opportunities, in global retail store automation.”





The Open Retail Initiative

https://www.lfedge.org/2020/02/13/n...ensor-fusion-for-intelligent-loss-prevention/




For the one-year anniversary of ORI, six initiative members Edgify, Flooid, Shekel and LF Edge members HP, IOTech and Intel inspired by the initiative, worked together on a demo for the Intel booth that showcased the value of Real Time Sensor Fusion for a loss prevention use case at self-checkout. The retail environment has become incredibly complex. The latest technologies enable data-driven experiences and unlock business value like never before, yet there is still a lack of interoperability making it difficult for retailers to deploy integrated solutions with speed and ease. The demo illustrates how integration roadblocks can be a thing of the past.

The demo pulls together real time data through the EdgeX middleware from different common systems including POS real-time transaction log, CV-based object detection, scale solution, and RFID, and data fusion—all in a single pane of glass.

Here are some PowerPoint slides of IBM, Intel & Hewlett-Packard talking about the joint solution

https://wiki.edgexfoundry.org/downl...amp;modificationDate=1579904283000&api=v2

The Fast Track Project

https://www.edgify.ai/retail/

• Reduce time at till and selection at self-checkout by up to 98%. Computer vision-based product recognition, that continuously learns directly on the till, so the accuracy of the detection always increases.
• Friction-less stores are great in theory but extremely complicated to scale in practice. Our edge training solution makes autonomous stores scalable, by having all the AI train directly on the camera. No infrastructure costs and no added complications.
• Reduce incorrect selections by up to 90%. Either intentional or unintentional, use computer vision that is trained directly on the SCO itself to reduce loss by more than half!
• No barcodes, no packaging, no worries. Simple USB cameras can detect the produce at close to 100% accuracy. Use as a decision support for cashiers, or to avoid consumers having to go through long and confusing menus.
  
  https://www.edgify.ai/wp-content/uploads/2019/08/Retail_Intro.pdf

Shekel’s Visual Recognition Platform embedded with Edgify’s machine-learning training framework is the world’s first cloudless software that automatically recognises products, including fresh produce, at a retail self-checkout.

This ~45 million AUD Market Cap company allows retailers to potentially bypass expensive cloud services from Microsoft, Google and Amazon.

Sending data to the cloud is a very costly process with the Google Cloud Platform charging 1,000 stores more than US$7.2 million in cloud computing power per annum.





You can see the Shekel system 35 seconds in.

Patnership with Madix (2nd Largest Retail Shelves Manufacturer in NA)

https://www.bloomberg.com/press-rel...ade-product-aware-cabinets-to-retail-industry

NEW YORK -- January 13, 2020

Madix Inc., the second largest retail shelves manufacturer in North America, and Shekel Brainweigh Ltd. (ASX: SBW), the leader in advanced weighing technology, today announced the availability of ready-made Product Aware shelves and solutions for the retail industry.

“By seamlessly integrating Product Aware shelves into our hardware, our customers are armed with accessible data giving them reliable inventory visibility and assisting them in addressing over-stock and out-of-stock problems, as well as better control over shrinkage” said Steve Kramer, VP Sales, Madix.

“For the retail industry, this is a defined competitive edge that promotes the opportunity to increase profitability.”

Conclusion

So, remember - the core scales business is what drives the revenue we see today, but the innovation division is where the real potential resides. That will take a few more months/years to play out. I think most people are buying for the fully autonomous frictionless retail technology which comes with a huge addressable market. That’s still being undervalued in my humble opinion.

Considering there are quite a few ASX-listed tech companies with no revenue and over 100 million market cap (som

Their learning method looks likes Akida’s. Then the data is shared over the air to other stores:

 

[Diogenese]

That's the second time in 2 days the M85 has earned an ogre:

View attachment 8633

You can't get much further away from spikes than 64-bit processors.

... except for 128-bit processors:

Note Helium in the middle under the blue CPU box. Helium is used for machine learning.

arm-cortex-m85-product-brief.pdf (windows.net)

Helium and Neon comparison

One of their main differences between Helium and Neon is that Helium is the extension that is used for the Armv8.1-M architecture. Neon is the extension that is used for the Armv7-A architecture.

The similarities between Helium and Neon are:

Both use 128-bit vectors.

Both reuse floating point registers.

Both provide instructions to perform vector add and vector multiply.

The differences between Helium and Neon are:

Neon vectors can be 64 or 128bit

Helium includes eight vector registers in Helium and Neon includes 16 vector registers.

Helium includes both regular registers and vector registers. This allows Helium to reduce the register pressure.

Two of the main applications for Helium are Digital Signal Processing (DSP) and Machine Learning (ML). Helium offers significant performance increase in these areas.

Helium provides intrinsics targeted for DSP instructions, for example:

vld2q, which loads blocks of data from memory and writes them to the destination registers

vrmlsldavhaq is useful for the multiplication of complex numbers, which is often used in DSP.

ML is a subset of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Helium helps to boost Matrix Multiplication operations, which are the foundation of Convolutional Neural Networks or Classical based Machine Learning kernels.

Applications that can be greatly accelerated by Helium are Fast Fourier Transform (FFT) and Complex Dot Product as there are specific instructions which help implement these calculations.

 

[cassip]

Morning Chippers,

Great news on our inclusion into the ASX200 on 20th of June.

This announcement was released to the Australian market via the ASX at 5:00pm, Friday as price sensitive.

I have had a look on the website , MARKET WATCH.com , under both our USA listing codes and also our German listing on Market Watch and this price sensitive announcement dose not appear under PRESS RELEASES or OTHER NEWS.?????

Wondering if Tony Dawe may need to contact our investor relations in the USA and get this info out to the market pronto before their markets open, as it was released to the Australian market two days ago.

Would be interested to know if any of our USA and German shareholders have been informed via their Brokers / Trading Platforms of this major development.


Regards,
Esq.

Good afternoon Esq., so far there has been no information on this from the broker (I am writing to you from Germany). Regards, cassip

 

[Diogenese]

I found this over on HC on the SBW (Shekel Brainweigh Ltd) thread, thanks to @Verce whoever you are. Looks like a few different parties involved - Edgify, Flooid, Shekel and LF Edge HP, IOTech and Intel.

Maybe @Diogenese could take an ogres ogle at the patents to see what's going on?








If you are interested in reading up on some of their patents, please see this link:

https://patents.justia.com/search?q=Shekel scales

I found 11 separate patents here, which are probably not an exhaustive list, but ranging from weighing vehicles in motion, to load cell devices (this is the flagship technology), point of sale apparatus and infant weight systems (for their medical customers)

SBW's three main technology pillars, including patented ultra-thin high precision load sensors, can distinguish between Coke, Fanta & Pepsi - even if they are all in 1.5 litre bottles!



The Hitachi Project (Hitachi’s Market Cap = roughly ~33 billion USD at time of writing, SBW = ~45 million AUD)



http://hlds.co.jp/product-eng/1079

[Translated from Japanese] Hitachi-LG Data Storage. Inc. exhibited in “NRF 2020 Retail’s Big Show” which took place at Jacob K. Javits Convention Center in New York from 1/12-1/14/2020, where Unmanned Store solution using 3D LiDAR(TOF) was jointly exhibited with Hitachi America, Hitachi Vantara, and Shekel Brainweigh (Israel).






Some quotes I found from Hitachi themselves

“Micro-markets are the fastest growing segment of convenience shopping. We see them exploding in high traffic areas, such as workplaces, campuses, train stations and airports,” said Hideki Hayashi, Sales and Marketing Manager, Hitachi EU Ltd.

“Deploying the joint Shekel-Hitachi solution enables retailers and micro-market operators to provide the 24/7 frictionless shopping experience consumers demand without sacrificing accuracy, performance or profitability.”

“As the manager responsible for LiDAR products in EMEA markets, I consider the R&D and commercial collaboration with Shekel Brainweigh to be the perfect partnership as we both bring our respective capabilities to develop a seamless consumer shopping experience. We are extremely pleased to collaborate with Shekel Brainweigh, which we believe is the best digital weighing technology developer globally."

“The collaboration builds on our expertise in optical motion sensors, together with Shekel’s advanced Product Aware Technology, and further strengthens our commitment to overcome the challenges, and address the significant opportunities, in global retail store automation.”





The Open Retail Initiative

https://www.lfedge.org/2020/02/13/n...ensor-fusion-for-intelligent-loss-prevention/




For the one-year anniversary of ORI, six initiative members Edgify, Flooid, Shekel and LF Edge members HP, IOTech and Intel inspired by the initiative, worked together on a demo for the Intel booth that showcased the value of Real Time Sensor Fusion for a loss prevention use case at self-checkout. The retail environment has become incredibly complex. The latest technologies enable data-driven experiences and unlock business value like never before, yet there is still a lack of interoperability making it difficult for retailers to deploy integrated solutions with speed and ease. The demo illustrates how integration roadblocks can be a thing of the past.

The demo pulls together real time data through the EdgeX middleware from different common systems including POS real-time transaction log, CV-based object detection, scale solution, and RFID, and data fusion—all in a single pane of glass.

Here are some PowerPoint slides of IBM, Intel & Hewlett-Packard talking about the joint solution

https://wiki.edgexfoundry.org/downl...amp;modificationDate=1579904283000&api=v2

The Fast Track Project

https://www.edgify.ai/retail/

• Reduce time at till and selection at self-checkout by up to 98%. Computer vision-based product recognition, that continuously learns directly on the till, so the accuracy of the detection always increases.
• Friction-less stores are great in theory but extremely complicated to scale in practice. Our edge training solution makes autonomous stores scalable, by having all the AI train directly on the camera. No infrastructure costs and no added complications.
• Reduce incorrect selections by up to 90%. Either intentional or unintentional, use computer vision that is trained directly on the SCO itself to reduce loss by more than half!
• No barcodes, no packaging, no worries. Simple USB cameras can detect the produce at close to 100% accuracy. Use as a decision support for cashiers, or to avoid consumers having to go through long and confusing menus.
  
  https://www.edgify.ai/wp-content/uploads/2019/08/Retail_Intro.pdf

Shekel’s Visual Recognition Platform embedded with Edgify’s machine-learning training framework is the world’s first cloudless software that automatically recognises products, including fresh produce, at a retail self-checkout.

This ~45 million AUD Market Cap company allows retailers to potentially bypass expensive cloud services from Microsoft, Google and Amazon.

Sending data to the cloud is a very costly process with the Google Cloud Platform charging 1,000 stores more than US$7.2 million in cloud computing power per annum.





You can see the Shekel system 35 seconds in.

Patnership with Madix (2nd Largest Retail Shelves Manufacturer in NA)

https://www.bloomberg.com/press-rel...ade-product-aware-cabinets-to-retail-industry

NEW YORK -- January 13, 2020

Madix Inc., the second largest retail shelves manufacturer in North America, and Shekel Brainweigh Ltd. (ASX: SBW), the leader in advanced weighing technology, today announced the availability of ready-made Product Aware shelves and solutions for the retail industry.

“By seamlessly integrating Product Aware shelves into our hardware, our customers are armed with accessible data giving them reliable inventory visibility and assisting them in addressing over-stock and out-of-stock problems, as well as better control over shrinkage” said Steve Kramer, VP Sales, Madix.

“For the retail industry, this is a defined competitive edge that promotes the opportunity to increase profitability.”

Conclusion

So, remember - the core scales business is what drives the revenue we see today, but the innovation division is where the real potential resides. That will take a few more months/years to play out. I think most people are buying for the fully autonomous frictionless retail technology which comes with a huge addressable market. That’s still being undervalued in my humble opinion.

Considering there are quite a few ASX-listed tech companies with no revenue and over 100 million market cap (som

 

[Boab]

Their learning method looks likes Akida’s. Then the data is shared over the air to other stores:

View attachment 8649

That's very cool.

 

[Esq.111]

Good afternoon Esq., so far there has been no information on this from the broker (I am writing to you from Germany). Regards, cassip,

Morning cassip,

Thankyou for replying.

Very strange this monomentus milestone of Brainchip reaching the ASX200 has been overlooked.

Major stuff up by those handling our communications abroad.

Hope you have a good day on the German market & if you frequent similar discussion forums there it would be great if you could let them know the good news.

Regards,
Esq.

 

[Stable Genius]

This is not the first time I’ve seen Rob Telson like something from Teal:

View attachment 8628
View attachment 8629



Is this maybe the telecomunications company we are working with?

Cellular IoT Connectivity | eSIM Platform | TEAL

Connect your IoT devices onto any global cellular network within one eSIM platform you control. Find out if eSIM is right for your business.

www.tealcom.io

Still looking at Teal. They do a bit more than just telecommunications.

I tried to sign up to a white paper on their technology however I need some company details. Which I don’t have so the trail ends there for me.

 

[David holland]

This is not the first time I’ve seen Rob Telson like something from Teal:

View attachment 8628
View attachment 8629



Is this maybe the telecomunications company we are working with?

Cellular IoT Connectivity | eSIM Platform | TEAL

Connect your IoT devices onto any global cellular network within one eSIM platform you control. Find out if eSIM is right for your business.

www.tealcom.io

Maybe Rob luvs and appreciates good work

 

[cassip]

Morning cassip,

Thankyou for replying.

Very strange this monomentus milestone of Brainchip reaching the ASX200 has been overlooked.

Major stuff up by those handling our communications abroad.

Hope you have a good day on the German market & if you frequent similar discussion forums there it would be great if you could let them know the good news.

Regards,
Esq.

Don`t worry, Esq., even without a separate announcment the news has arrived in various disussion forums. By the way, SP Tradegate:

11:26:38

0,7015

EURO

One could buy more.
Have a good evening.

Regards, cassip

 

[Rise from the ashes]

Not that it means anything but just noticed Tim from nvisio is now a connection with pvdm. Wasn't previously.

 

[Rise from the ashes]

Still looking at Teal. They do a bit more than just telecommunications.

View attachment 8655

View attachment 8656

I tried to sign up to a white paper on their technology however I need some company details. Which I don’t have so the trail ends there for me.

Fake it till you make it brother

 

[Stable Genius]

Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Powering the Connected Intelligent Edge and the Future of On-Device AI,” tutorial at the May 2022 Embedded Vision Summit.

Thanks, very interesting. I thought I was watching a Brainchip presentation for a while; they’ve identified the same issues.

They were pushing Snapdragon and even though Brainchip might be superior (not that I could say that) I think they will try to stay with their own product unless our patents stop them from further advancements. Fingers crossed as to be intergrated with them would be awesome!

 

[Stable Genius]

Maybe Rob luvs and appreciates good work

You could be right. They could be mates, or just in the same circles promoting the technology pathway.

The products look like they are right up Brainchips alley but I can’t get my hands on anything technical to see if they are using SNN.

Fingers crossed.

 

[thelittleshort]

Cannot be certain but pretty sure I’ve stumbled across the Akida advert for next years Super Bowl LVII

 

[Esq.111]

Don`t worry, Esq., even without a separate announcment the news has arrived in various disussion forums. By the way, SP Tradegate:

11:26:38

0,7015

EURO

One could buy more.
Have a good evening.

Regards, cassip

cassip,

If you could buy roughly €5,500,000.00 worth that would be tops.

Would put BRN amoungst the top five stocks traded by value on Tradegatexchange.

Cheers for your assistance.

Ha. Ha.

Regards,
Esq.

 

[cassip]

cassip,

If you could buy roughly €5,500,000.00 worth that would be tops.

Would put BRN amoungst the top five stocks traded by value on Tradegatexchange.

Cheers for your assistance.

Ha. Ha.

Regards,
Esq.

let me check this
Regards
cassip

 

[Izzzzzzzzzzy]

March 15th 2021 when brn was added to asx 300

It was effective from the 22nd of march 2021

 

[DingoBorat]

I found this over on HC on the SBW (Shekel Brainweigh Ltd) thread, thanks to @Verce whoever you are. Looks like a few different parties involved - Edgify, Flooid, Shekel and LF Edge HP, IOTech and Intel.

Maybe @Diogenese could take an ogres ogle at the patents to see what's going on?








If you are interested in reading up on some of their patents, please see this link:

https://patents.justia.com/search?q=Shekel scales

I found 11 separate patents here, which are probably not an exhaustive list, but ranging from weighing vehicles in motion, to load cell devices (this is the flagship technology), point of sale apparatus and infant weight systems (for their medical customers)

SBW's three main technology pillars, including patented ultra-thin high precision load sensors, can distinguish between Coke, Fanta & Pepsi - even if they are all in 1.5 litre bottles!



The Hitachi Project (Hitachi’s Market Cap = roughly ~33 billion USD at time of writing, SBW = ~45 million AUD)



http://hlds.co.jp/product-eng/1079

[Translated from Japanese] Hitachi-LG Data Storage. Inc. exhibited in “NRF 2020 Retail’s Big Show” which took place at Jacob K. Javits Convention Center in New York from 1/12-1/14/2020, where Unmanned Store solution using 3D LiDAR(TOF) was jointly exhibited with Hitachi America, Hitachi Vantara, and Shekel Brainweigh (Israel).






Some quotes I found from Hitachi themselves

“Micro-markets are the fastest growing segment of convenience shopping. We see them exploding in high traffic areas, such as workplaces, campuses, train stations and airports,” said Hideki Hayashi, Sales and Marketing Manager, Hitachi EU Ltd.

“Deploying the joint Shekel-Hitachi solution enables retailers and micro-market operators to provide the 24/7 frictionless shopping experience consumers demand without sacrificing accuracy, performance or profitability.”

“As the manager responsible for LiDAR products in EMEA markets, I consider the R&D and commercial collaboration with Shekel Brainweigh to be the perfect partnership as we both bring our respective capabilities to develop a seamless consumer shopping experience. We are extremely pleased to collaborate with Shekel Brainweigh, which we believe is the best digital weighing technology developer globally."

“The collaboration builds on our expertise in optical motion sensors, together with Shekel’s advanced Product Aware Technology, and further strengthens our commitment to overcome the challenges, and address the significant opportunities, in global retail store automation.”





The Open Retail Initiative

https://www.lfedge.org/2020/02/13/n...ensor-fusion-for-intelligent-loss-prevention/




For the one-year anniversary of ORI, six initiative members Edgify, Flooid, Shekel and LF Edge members HP, IOTech and Intel inspired by the initiative, worked together on a demo for the Intel booth that showcased the value of Real Time Sensor Fusion for a loss prevention use case at self-checkout. The retail environment has become incredibly complex. The latest technologies enable data-driven experiences and unlock business value like never before, yet there is still a lack of interoperability making it difficult for retailers to deploy integrated solutions with speed and ease. The demo illustrates how integration roadblocks can be a thing of the past.

The demo pulls together real time data through the EdgeX middleware from different common systems including POS real-time transaction log, CV-based object detection, scale solution, and RFID, and data fusion—all in a single pane of glass.

Here are some PowerPoint slides of IBM, Intel & Hewlett-Packard talking about the joint solution

https://wiki.edgexfoundry.org/downl...amp;modificationDate=1579904283000&api=v2

The Fast Track Project

https://www.edgify.ai/retail/

• Reduce time at till and selection at self-checkout by up to 98%. Computer vision-based product recognition, that continuously learns directly on the till, so the accuracy of the detection always increases.
• Friction-less stores are great in theory but extremely complicated to scale in practice. Our edge training solution makes autonomous stores scalable, by having all the AI train directly on the camera. No infrastructure costs and no added complications.
• Reduce incorrect selections by up to 90%. Either intentional or unintentional, use computer vision that is trained directly on the SCO itself to reduce loss by more than half!
• No barcodes, no packaging, no worries. Simple USB cameras can detect the produce at close to 100% accuracy. Use as a decision support for cashiers, or to avoid consumers having to go through long and confusing menus.
  
  https://www.edgify.ai/wp-content/uploads/2019/08/Retail_Intro.pdf

Shekel’s Visual Recognition Platform embedded with Edgify’s machine-learning training framework is the world’s first cloudless software that automatically recognises products, including fresh produce, at a retail self-checkout.

This ~45 million AUD Market Cap company allows retailers to potentially bypass expensive cloud services from Microsoft, Google and Amazon.

Sending data to the cloud is a very costly process with the Google Cloud Platform charging 1,000 stores more than US$7.2 million in cloud computing power per annum.





You can see the Shekel system 35 seconds in.

Patnership with Madix (2nd Largest Retail Shelves Manufacturer in NA)

https://www.bloomberg.com/press-rel...ade-product-aware-cabinets-to-retail-industry

NEW YORK -- January 13, 2020

Madix Inc., the second largest retail shelves manufacturer in North America, and Shekel Brainweigh Ltd. (ASX: SBW), the leader in advanced weighing technology, today announced the availability of ready-made Product Aware shelves and solutions for the retail industry.

“By seamlessly integrating Product Aware shelves into our hardware, our customers are armed with accessible data giving them reliable inventory visibility and assisting them in addressing over-stock and out-of-stock problems, as well as better control over shrinkage” said Steve Kramer, VP Sales, Madix.

“For the retail industry, this is a defined competitive edge that promotes the opportunity to increase profitability.”

Conclusion

So, remember - the core scales business is what drives the revenue we see today, but the innovation division is where the real potential resides. That will take a few more months/years to play out. I think most people are buying for the fully autonomous frictionless retail technology which comes with a huge addressable market. That’s still being undervalued in my humble opinion.

Considering there are quite a few ASX-listed tech companies with no revenue and over 100 million market cap (som

Diogenese must be busy doing some reading ..

It looks like everything we "could" do with AKIDA, most definitely using a lot less power, than the system shown..

But feels too "developed", considering it dates to 2020..
Sounds to me like, the Shekel mob you highlighted, are the main brains behind this one..

SBW struggling a bit though..
Their costs are too high..

 

[Fact Finder]

Watch the video sounds like AKIDA
.https://www.edgify.ai

I have had a deep dive into Shekel Brainweigh and am quite confident there is no AKIDA in sight.

They rely on cloud Ai. They have no one on staff who has SNN sticking out and the career options are for totally software cloud focused individuals.

They do not reference power but they can connect directly into the power grid in supermarkets and while supermarkets are not using plastic bags as their contribution to saving the planet they have yet to really worry about how much electricity they are sucking out of the grid.

In fact this technology as it reduces human staff will be a net gain even having regard to its increased power use.

In the next few years as coal powered base load generation disappears even supermarkets will realise that electric power is finite.

My opinion only DYOR
FF

AKIDA BALLISTA