AI-powered driver monitoring systems offer several advantages such as improved safety, reduced risk of accidents, cost-effectiveness, compliance with regulations, and improved driver performance. By detecting drowsiness, distraction, and other unsafe driving behavior, the system can alert drivers in real-time and prevent accidents. These systems can also help reduce costs associated with accidents, comply with industry regulations, and identify areas for drivers to improve their driving skills. Overall, AI-powered driver monitoring systems provide a range of benefits for drivers and companies alike.
Documentation
To deploy this project run
# Importing flask module in the project is mandatory
# An object of Flask class is our WSGI application.
from flask import Flask
from detect3_Basic_Copy import run
# Flask constructor takes the name of
# current module (__name__) as argument.
app = Flask(__name__)
# The route() function of the Flask class is a decorator,
# which tells the application which URL should call
# the associated function.
@app.route('/')
# ‘/’ URL is bound with hello_world() function.
def hello_world():
run()
return 'Hello World'
# main driver function
if __name__ == '__main__':
# run() method of Flask class runs the application
# on the local development server.
app.run()
- REAL TIME FACE TRACKING
- SOS AND EMERGENCY SERIVES
- BLACK BOX ENABLE
- CROSS PLATFORM (DELOYED ON WEBSITE)
