{"id":93637,"date":"2024-03-13T08:51:50","date_gmt":"2024-03-13T08:51:50","guid":{"rendered":"https:\/\/www.seeedstudio.com\/blog\/?p=93637"},"modified":"2024-06-18T09:24:18","modified_gmt":"2024-06-18T09:24:18","slug":"exploring-smart-eyes-on-mcu-join-the-tinyml-vision-challenge-now","status":"publish","type":"post","link":"https:\/\/www.seeedstudio.com\/blog\/2024\/03\/13\/exploring-smart-eyes-on-mcu-join-the-tinyml-vision-challenge-now\/","title":{"rendered":"Exploring\u00a0Smart\u00a0Eyes\u00a0on\u00a0MCU -Join Seeed Vision\u00a0Challenge\u00a0to win BIG!"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Background of this Challenge<\/h2>\n\n\n\n

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:<\/p>\n\n\n\n

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  1. It is a viable replacement for many traditional sensors<\/strong>: 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\u2014all 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.<\/li>\n\n\n\n
  2. Unparalleled flexibility<\/strong>: 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\u2014tasks that previously required complex IP cameras or regular manual checks. AI vision sensors bring a level of adaptability absent in their traditional counterparts.<\/li>\n<\/ol>\n\n\n\n

    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<\/a> represents a game-changer here, as it improves machine learning performance by 480 times compared to existing systems based on Cortex-M architecture.<\/p>\n\n\n\n

    Seeed recently developed a vision sensor module, the Grove Vision AI Module v2<\/a>, which is based on the Himax WiseEye2 HX6538<\/a> that utilizes this ARM architecture.<\/p>\n\n\n\n

    \"\"<\/figure>\n\n\n\n

    We have conducted some tests, and the process and results can be found here<\/a>. The results are quite surprising\u2014it 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.<\/p>\n\n\n\n

    Compared to previous vision sensors, it has three significant advantages:<\/p>\n\n\n\n

    \ud83c\udf1fSignificant uplift in ML capabilities<\/p>\n\n\n\n

    \ud83c\udf1fAward-winning low power consumption, making it suitable for battery-powered applications.<\/p>\n\n\n\n

    \ud83c\udf1fNo-code model deployment with Seeed Studio SenseCraft AI<\/a>, which has an MCU-optimized model library for peak performance that is easily accessible.<\/p>\n\n\n\n

    <\/p>\n\n\n\n

    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.<\/p>\n\n\n\n

    <\/div>\n\n\n\n

    Steps to participate in this Vision Challenge<\/h2>\n\n\n\n

    <\/p>\n\n\n\n

    Step 1:<\/strong>
    Submit your ideas<\/strong><\/h3>\n\n\n\n

    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. <\/p>\n\n\n\n

    Seize this unique opportunity by submitting your ideas now\u2014availability is on a first-come, first-serve basis.<\/p>\n\n\n\n

    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 questions, please feel free to reach out to iot[at]seeed.cc<\/a>, and we will be there to support you. Please note that we’re not accepting project ideas any more, please join the challenge in step 2 by submitting your projects by June 30, 2024.<\/p>\n\n\n\n