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Intelligent Bus Service

Soft Computing Tools In Engineering'19 Term Project.

Team Members :

Shreyas Kowshik (17MA20039)

Ayush Suhane (17MA20005)

Siddharth Lal (17MA20055)

Piyush Premchand Ranjan (17IM10012)

Saksham (17MA20035)

Given a camera feed, count the number of people in a bus using Faster-RCNN , get the GPS time-stamp of the picture, and update the user on where the given bus is on a map, and how many people are there in it.

Link To Slides : https://drive.google.com/file/d/1kCruzdLKiJjc48_8siNZbc6ogfXzxk0Q/view?usp=sharing

Results

Class Detection

Bus Detection

Location

Interface

Interface Home

Interface Map

Instruction To Run

Add images to $ROOT/static/ directory.

For DEMO :

Run python bus_demo.py

This will generate the number of objects in each image and save the results in $ROOT/static/.

To run on interface :

Run python app.py

Run Cam Demo

python cam_demo.py

Press q to capture the image when the webcam window shows up.

Run Custom Image Demo

python custom_image_demo.py

By default the name of the image must be test.jpg

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