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RoadTests & Reviews
RoadTest Forum Seeking Your Feedback on Roadtesting an Artificial Intelligence Eval kit
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Forum Thread Details
  • Replies 27 replies
  • Subscribers 2558 subscribers
  • Views 3138 views
  • Users 0 members are here
  • infineon
  • imagimob AI
  • roadtest survey
  • CY8CKIT-062S2-AI
  • machine learning
Related

Seeking Your Feedback on Roadtesting an Artificial Intelligence Eval kit

rscasny
rscasny over 1 year ago

imageI've been speaking with a sponsor about roadtesting its new AI Eval kit for machine learning applications.

I'd like to get your interest in this kit, so I've posted below some info about it.

The sponsor was interested in learning how you would roadtest this kit. They would like to see your ideas to better define the goals of this roadtest. So, if you have any thoughts feel free to add any comments about roadtesting below. Thanks.

What is the kit?

Infineon’s PSoCTm 6 Artificial Intelligence Evaluation Kit is a hardware platform focused on Edge AI. It enables customers to evaluate Infineon’s Machine Learning platform IMAGIMOB Studio, as well as ready to deploy ML models, and other SW products.

Here are some more info and features:

PSoCTm 6 Artificial Intelligence Evaluation Kit (CY8CKIT-062S2-AI)

The PSoCTm 6 AI Evaluation Kit is a Hardware platform focused on Machine Learning (ML) . It enables customers to evaluate Infineon’s ML platform Imagimob Studio, as well as ready to deploy ML models, and other software products. Data collection is enabled via PSoCTm 6 MCU, radar, acoustic, pressure & IMU sensors. The board is designed for easy prototyping and lets customers collect real-life data to build compelling ML products fast.

Summary of Features

  • Small form factor
  • Wireless
  • Full ML to embedded Software journey
  • Powerful AI toolchain
  • Production ready ML models
  • Multi sensor input

Potential Applications

  • Sound detection (siren, cough, snore, baby cry)
  • Presence detection, counting & tracking
  • Gesture sensing
  • Customized radar
  • Motion detection
  • Sensor fusion

Here is some documentation:

Datasheet

Schematics

Release Notes

Imagimob AI 

ModusToolBox 

Other Information 

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Top Replies

  • javagoza
    javagoza over 1 year ago in reply to DAB +7
    I recently posted my project for the element14 Extreme Environments design challenge on LinkedIn, and within 12 hours, I've already been contacted for potential collaborations on similar projects! This…
  • javagoza
    javagoza over 1 year ago +6
    This is a difficult decision for me. Although I would be interested in doing a small project on early detection of pandemics through urban cough monitoring, I have just received a notice of collective…
  • dougw
    dougw over 1 year ago +3
    AI is game changing technology that we really need to be learning. This platform is a good system to learn on, and the price is right. However, from where I am on the journey, this seems like too much…
Parents
  • Fred27
    Fred27 over 1 year ago

    I may be in the minority, but I just don't find AI or ML interesting. I like small precise stuff like coding in C where you know exactly what it going on. I just don't get "it's 98% likely to be a car but I can't tell you why". That and the fact that getting AI to 100% accurate seems like it will be forever just out of reach.

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  • Fred27
    Fred27 over 1 year ago

    I may be in the minority, but I just don't find AI or ML interesting. I like small precise stuff like coding in C where you know exactly what it going on. I just don't get "it's 98% likely to be a car but I can't tell you why". That and the fact that getting AI to 100% accurate seems like it will be forever just out of reach.

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  • michaelkellett
    michaelkellett over 1 year ago in reply to Fred27

    Me too !

    I do a lot of work with sensors. Currently I'm working on a project where the customer want every hardware and software design decision to be traceable back to it's origins, cross referenced to the specifications and justified by testing or logic.

    I can't quite see where ML fits in this (and similar) scenarios.

    MK

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  • Jan Cumps
    Jan Cumps over 1 year ago in reply to michaelkellett

    Areas where we have success with AI:

    Production optimisation: prepare plan to say what we should produce, where and when, to have enough stock for customers. With the best use of resources

    Route optimisation for store delivery. Wat orders should we combine on what truck, and what route should they take, for the most efficient store replenishment

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  • DAB
    DAB over 1 year ago in reply to Fred27

    I cringe at the thought of any AI model being put into anything that would affect safety.

    I agree, if it cannot tell me why it made the recommendation, then it is not something I would trust.

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