Exploring Smart Eyes on MCU -Join Seeed Vision Challenge to win BIG!
Background of this Challenge
The AI Vision sensor is a sensor that we believe has great potential ability to help you see and analyze scenes that were previously unseen. Here’s why:
- It is a viable replacement for many traditional sensors: For instance, PIR Sensors for motion detection, Ultrasonic Sensors for measuring distances, Thermopiles and IR Sensors for temperature readings, and Contact Sensors for detecting touch or proximity—all have their unique features. However, vision sensors excel in precision detection. While traditional sensors might guess if someone has fallen, a vision sensor can confirm the event accurately.
- Unparalleled flexibility: Equipped with the right AI model, a vision sensor can act as a termite detector, a snake sensor, or even spot blockages at fire exits—tasks that previously required complex IP cameras or regular manual checks. AI vision sensors bring a level of adaptability absent in their traditional counterparts.
However, earlier MCU-based vision sensors were limited by computing power, often only capable of simple applications like face detection. We think the Arm Cortex M55 & Ethos U55 represents a game-changer here, as it improves machine learning performance by 480 times compared to existing systems based on Cortex-M architecture.
Seeed recently developed a vision sensor module, the Grove Vision AI Module v2, which is based on the Himax WiseEye2 HX6538 that utilizes this ARM architecture.
We have conducted some tests, and the process and results can be found here. The results are quite surprising—it can even be used for pose detection, which is a truly impressive feat for MCU performance. We believe it opens up functionalities previously inaccessible to traditional vision sensors.
Compared to previous vision sensors, it has three significant advantages:
🌟Significant uplift in ML capabilities
🌟Award-winning low power consumption, making it suitable for battery-powered applications.
🌟No-code model deployment with Seeed Studio SenseCraft AI, which has an MCU-optimized model library for peak performance that is easily accessible.
With such an exciting product, we invite you to join in the fun. Seeed, in collaboration with Arm and Himax, is launching a Vision Challenge, and we’re eager to witness your innovative use of this product.
Steps to participate in this Vision Challenge
Step 1:
Submit your ideas
Tell us what you’d like to create or the real-world problems you aim to tackle using the Grove Vision AI V2 Sensor. We’ll review all submissions and select the 250 most innovative ideas. Chosen participants will receive a complimentary Grove Vision AI Module v2 and a compatible OV5647 camera module to bring their concepts to life.
Seize this unique opportunity by submitting your ideas now—availability is on a first-come, first-serve basis.
After you submit your idea, we will review it, and if your idea is selected, we will contact you via the email address you provided and ship you the products. Should you have any question, please feel free to reach out to [email protected], and we will be there to support you.
Step 2: Publish your content and win
Showcase your work by May 31st on platforms like Hackster, Instructables, or YouTube or any others, and then share the project link with us by clicking the button below.
We’re open to all content but consider these directions:
- Conduct diverse evaluations to test its capabilities. Try running models like Mobilenet V1, V2, Efficientnet-lite, Yolo v5 & v8 in TensorFlow and PyTorch to test its performance
- Apply it to your own applications and solve your challenges by training your own models or using our pre-trained model library.
- Share your user experience by integrating it with popular development boards like Raspberry Pi or ESP32. Let us know how it performs as a subprocessor for image processing, and whether or not it meets your expectations
- Impress us with your creativity.
✨Before the end of June, we will select outstanding content from all submissions, and the exceptional creators will receive the following benefits:✨
1）3 Top Picks – Our favourite 3 publications will each receive a $300 USD coupon to purchase any Seeed products.
2) Alpha test our to-be-released SenseCAP Watcher (picture below)- For those whose work involves Computer Vision, TinyML, or LLM, we’ll select participants to join our alpha test of this new product—with no limit on the number of selections, just great work.
3) Official Promotions – Exceptional content may be featured through official Seeed, Himax, and ARM channels, like social media or trade shows.
4) Co-Creation Opportunity – Your project could be selected of our Seeed-Co-Create program, potentially turning your work into a product with a significant royalty for every unit sold.
Timeline:
📅Submit your content before 31st May
We can’t wait to see your creativity, join our Vision Challenge NOW
Should you have any question, please feel free to reach out to [email protected], and we will be there to support you.
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About Author
The ability to detect obstructions in fire exits on each floor without the need for complicated IP cameras or regular patrols is a significant advancement in terms of safety and efficiency.