Intelligent-Traffic-Light-Control-System
所属分类：图形图像处理
开发工具：HTML
文件大小：3995KB
下载次数：0
上传日期：2021-12-23 19:43:07
上 传 者：
sh-1993
说明： 使用图像处理，我们推荐了一个机器学习模型，可以用于预测有效的时间，为ea...
(Using Image Processing we recommend a Machine Learning model that can be used for predicting an efficient time for each phase in traffic light based on vehicle count on a particular lane, lane width and part of the day. This project aims to provide solution for efficient optimization of time at red lights to make travel more convenient. The)
文件列表:
brightness.png (498866, 2021-12-24)
complete_code.html (323999, 2021-12-24)
contrast.png (496300, 2021-12-24)
denoise.png (521667, 2021-12-24)
dilation.png (413840, 2021-12-24)
erosion.png (416074, 2021-12-24)
erosion_dilation.py (806, 2021-12-24)
image1.jpg (118624, 2021-12-24)
image2.jpeg (129513, 2021-12-24)
oo.png (68572, 2021-12-24)
original.png (335183, 2021-12-24)
re_size.png (619530, 2021-12-24)
re_size.py (193, 2021-12-24)
sharpness.png (524696, 2021-12-24)
video_car_detection.py (978, 2021-12-24)
# Intelligent-Traffic-Light-Control-System
Using Image Processing we recommend a ML model that can be used for predicting an efficient time for each phase in traffic light based on vehicle count on a particular lane and part of the day.
AFTER CROPPING, ADJUSTING THE BRIGHTNESS AND REMOVING THE NOISE
Output of ML model(Predicted value of vehicle count and accurate green light time)
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