2024-10-23 08:48 AM - edited 2024-12-18 04:20 AM
Dear community members,
Here’s your chance to win some prizes from ST until the end of 2024!
You can join the challenge by sharing your ISPU neural network implementation. We’ll provide instructions and hints during the ISPU webinar held on October 29, 2024.
Your proposal must relate to embedding a neural network on an ST MEMS sensor with ISPU.
The ISPU is an ultralow power, computationally efficient, high-performance programmable core that can execute signal processing and AI algorithms in the edge.
It is available in the LSM6DSO16IS and ISM330IS sensors from STMicroelectronics.
Simply create a comment in this thread. You can also attach files to document your solution (.log, .mp4, .docx, .jpg, .png, .xlsx, .7z, .hex, .c, .cpp, .zip).
Use the “kudos” button on ideas or implementations from other members to indicate that you like them. Everybody can vote on implementations and ideas, and the most voted one will win the prize.
The following guidelines can help you come up with implementations and ideas to share in this thread:
We will review your solutions in January, 2025 and send a PM to the winner of the challenge to get your information regarding shipment.
The challenge ends December 31, 2024, but your ideas and implementations are of course always welcome, even after the challenge!
2024-11-22 12:59 AM
The ST Edge AI Core for ISPU tutorial has been updated with support for the new X-NUCLEO-IKS4A1 motion MEMS and environmental sensor expansion board, check it out!
2024-12-02 06:46 AM
I developed two demos using the LSM6DSV16X sensor and MEMS Studio software, demonstrating how to combine the STM32H503CBT6 MCU and LPS28DFW barometer to perform smart gesture recognition and sports equipment recognition.
Demo 1: Smart Pen Gesture Recognition
Recognizing Steady, Idle, Writing, and Other gestures. The system can differentiate various writing postures in real-time.
Demo 2: Badminton Racket Recognition
Recognizing three states: Idle, Grip, and Swing, suitable for sports monitoring and smart sports equipment.
To share my implementation experience more effectively, I have written the following blogs and recorded corresponding videos:
Blog1:https://blog.csdn.net/qq_24312945/article/details/142692648
Video1:https://www.bilibili.com/video/BV14V45eyEh9/
Blog2:https://blog.csdn.net/qq_24312945/article/details/142692810
Video2:https://www.bilibili.com/video/BV1Ba45eaEKM
Blog3:https://blog.csdn.net/qq_24312945/article/details/142705360
Video3:https://www.bilibili.com/video/BV1624VeAEAG/
Blog4:https://blog.csdn.net/qq_24312945/article/details/142705468
Video4:https://www.bilibili.com/video/BV1Kb4FeME9R/
While promoting ST products, I have encountered some challenges and would appreciate additional support and resources. If you have any collaboration opportunities or suggestions, feel free to contact me:
Email: a845656974@outlook.com
2024-12-02 07:10 AM
Hi @Hank_Xiao ,
please post this comment inside the MEMS&Sensors community forum.
The content of your post can be useful to other users of that forum and it is out of scope for this challenge. In fact here ST is encouraging the development of applications based on ISPU embedded inside the MEMS sensors LSM6DSO16IS and ISM330IS.
Thanks!
2024-12-02 07:15 AM
I just saw this challenge and haven't used the LSM6DSO16IS and ISM330IS yet, but I feel they are quite similar.
2024-12-18 03:43 AM
Did the challenge conclude?
2024-12-18 03:45 AM
I just saw this is it still possible to upload my solution using the ISPU?
2024-12-18 04:16 AM
Hi @benx1326,
the deadline for this challenge has been extended, so you can still submit your idea in this thread.
Go ahead, new ideas are more than welcome!