COMPARISON OF CHILD DETECTION SYSTEM WITH ARTIFICIAL INTELLIGENCE USING MOBILENET, YOLOV2 AND YOLOV3 FOR OBJECT DETECTION
This research focuses on improving the child detection system by utilizing AI with recent versions of pre-trained models as an alternative of using sensors existing in the child detection system. Currently the problems experienced is the sensors used in the market, to prevent child heatstroke in aut...
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| Main Author: | |
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2019
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| Online Access: | http://ir.unimas.my/id/eprint/34410/1/COMPARISON%20OF%20CHILD%20DETECTION%20SYSTEM%20WITH%20ARTIFICIAL24pgs.pdf http://ir.unimas.my/id/eprint/34410/4/COMPARISON%20OF%20CHILD%20DETECTION%20SYSTEM%20WITH%20ARTIFICIALft.pdf http://ir.unimas.my/id/eprint/34410/ |
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