Distance Recognition Using QR Code Marker

• Published in: 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) pp. 631 - 635
• Main Authors: Yi Lee, Ian Jian, Yoong, Hou Pin, Kin Teo, Kenneth Tze, Chai, Chang Yii
• Format: Conference Proceeding
• Language: English
• Published: IEEE 26.08.2024
• Subjects: Artificial intelligence; Camera; Cameras; Costs; Current measurement; Distance Measurement; Error correction codes; Lasers; Length measurement; OpenMV; QR code; QR codes; Ultrasonic variables measurement
• DOI: 10.1109/IICAIET62352.2024.10730679

Existing distance measuring technologies such as ultrasonic distance sensor and laser range finders are commercially viable but have considerable drawbacks together with significant advantages. There is no balanced distancing solution when factoring together cost, size, maximum range and minimum clearance. This study proposes an incremental distancing solution which could minimize the individual drawbacks of the current absolute distancing solutions while maintaining most of their advantages. The solution consists of a device with a camera and processor that is capable of capturing two distance markers in a single frame and decode the encoded information in the distance markers. This solution will provide measurement precision more than each individual marker can provide itself based on the resolution of the camera and also the length between the two markers in frame. QR codes will be used as the distance marker due to their widespread use, error correction and royalty-free standard. The distance markers will have to be placed at a fixed distance interval onto a measuring surface. Millimeter precision is possible based on the calculations performed and verified with experimental results.