Moving Quick Response Codes Identification: System Performance Analysis and Maximization by Optimization of Illuminance and Exposure Time

We studied the relationship of Quick Response (QR) code identification system performances with illuminance on QR code, exposure time camera, and relative moving speed. root causes low performance problems as well. A physical experiment method study a minimal working example real-time codes ZBar algorithm has done, then results were quantitatively qualitatively analyzed. The values speed used in experiments 140 lux - 640 lux, 0.7 ms 22.2 ms, 0 m/s 2.5 m/s, respectively. Our data boundaries regarding motion blur (mediator variables) respectively 0.108 lux·s 12.476 0.0 pixel 30.4 pixel. identified phenomena imaging, blur, could make image too dark/too bright blurred. Such hard to identify being cause problems. quantitative proved that is affected by illuminance, time, Finally, we proposed novel solution overcome using numerical compute optimal camera's for given system.