Car Crash Detection and sending and SMS alert using Deep Learning
Objective
The main objective of this project is to send an SMS alert to concerns whenever the car crash occurs.
Abstract
There are many inventories in automobile industries to design and build safety measures for automobiles, but traffic accidents are unavoidable. There is a huge number of accidents prevailing in all urban and rural areas. Patterns involved with different circumstances can be detected by developing accurate prediction models which will be capable of automatic separation of various accidental scenarios. Hence we are proposing a method that which can predict whether the car has undergone the accident or not. This process is performed using the CNN-based transfer learning algorithm (MobileNet) of deep learning. If the given input is detected as the car crashed then an alert SMS will be sent to the user.
Keywords: Car crash detection, CNN, transfer learning, deep learning, SMS alert
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
H/W Specifications:
- Processor : I5/Intel Processor
- RAM : 8GB (min)
- Hard Disk : 128 GB
S/W Specifications:
- Operating System : Windows 10
- Server-side Script : HTML, CSS, JS
- IDE : PyCharm
- Libraries Used : Numpy, OS, Keras, pandas, tensorflow, Flask
Learning Outcomes
- Testing techniques
- Error correction mechanisms
- What type of technology versions is used?
- Working of Tensor Flow
- Implementation of Deep Learning techniques
- Working of CNN algorithm
- Building of model creations
- Scope of project
- Applications of the project
- About Python language
- About Deep Learning Frameworks
- Use of Data Science
- Practical exposure to
- Hardware and software tools
- Solution providing for real-time problems
- Working with team/individual
- Work on creative ideas
Demo Video
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