An Embedded Real-Time Object Detection and Measurement of its Size

In these days, real-time object detection and dimensioning of objects is an important issue from many areas of industry. This is a vital topic of computer vision problems. This study presents an enhanced technique for detecting objects and computing their measurements in real time from video streams...

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Bibliographic Details
Published in2018 International Conference on Artificial Intelligence and Data Processing (IDAP) pp. 1 - 4
Main Authors OTHMAN, Nashwan Adnan, SALUR, Mehmet Umut, KARAKOSE, Mehmet, AYDIN, Ilhan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2018
Subjects
Cameras
Canny Edge Detection
Computer vision
Detectors
Distance measurement
Image edge detection
Object detection
Object Dimension Measurement
OpenCV
Raspberry pi 3
Real-time systems
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DOI10.1109/IDAP.2018.8620812

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Summary:In these days, real-time object detection and dimensioning of objects is an important issue from many areas of industry. This is a vital topic of computer vision problems. This study presents an enhanced technique for detecting objects and computing their measurements in real time from video streams. We suggested an object measurement technique for real-time video by utilizing OpenCV libraries and includes the canny edge detection, dilation, and erosion algorithms. The suggested technique comprises of four stages: (1) identifying an object to be measured by using canny edge detection algorithm, (2) using morphological operators includes dilation and erosion algorithm to close gaps between edges, (3) find and sort contours, (4) measuring the dimensions of objects. In the implementation of the proposed technique, we designed a system that used OpenCV software library, Raspberry Pi 3 and Raspberry Camera. The proposed technique was nearly achieved 98% success in determines the size of the objects.
DOI:10.1109/IDAP.2018.8620812