Detection Of Pedestrian Crossing For Safe Driving

Also Available Domains Arduino|WSN|PIC16F77A

Project Code :TEMBRE19_438

Abstract

The project proposes an innovative system for enhancing road safety by detecting pedestrian crossings to alert drivers using a combination of a USB camera, ultrasonic sensor, and the YOLO (You Only Look Once) algorithm. Pedestrian safety remains a critical concern, especially at crossing points where interactions with vehicles pose significant risks. By integrating advanced technologies, this system aims to mitigate accidents and improve overall road safety. The system's architecture involves interfacing a USB camera and an ultrasonic sensor with a computing platform capable of running the YOLO algorithm for object detection. The USB camera captures video footage of the road environment, while the ultrasonic sensor measures the distance between the vehicle and nearby objects, specifically focusing on pedestrian crossings. The YOLO algorithm processes the video feed to identify pedestrians within the vicinity of the crossing.

Upon detecting a pedestrian crossing, the system activates an alert mechanism to notify the driver. This alert is facilitated through speakers installed in the vehicle, providing audible warnings to prompt the driver's attention to the pedestrian crossing ahead. The integration of audio alerts ensures that drivers receive timely notifications, especially in scenarios where visual cues may be insufficient or distractions are prevalent. Key features of the proposed system include real-time processing capabilities, accurate detection of pedestrian crossings, and robust alert mechanisms to ensure driver awareness. By leveraging state-of-the-art technologies, such as computer vision and sensor fusion, the system offers a proactive approach to pedestrian safety, thereby reducing the likelihood of accidents and promoting safer driving practices.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Requirements:

  • USB Camera
  • Ultrasonic Sensor
  • Power Supply
  • Raspberry pi
  • Speakers
  • Buzzer
  • LCD

Software Requirements:

  • Raspbian OS
  • Python IDLE

Learning Outcomes

  • Raspberry Pi pin diagram and architecture
  • How to install Raspberry Pi IDE software
  • Setting up and installation procedure for Arduino
  • Introduction to Python IDE
  • Basic coding in Python IDE
  • Working of LCD
  • Interface LCD with Arduino
  • Working of power supply
  • About Project Development Life Cycle:
    • Planning and Requirement Gathering (software’s, Tools, Hardware components, etc.,)
    • Schematic preparation 
    • Code development and debugging
    • Hardware development and debugging
    • Development of the Project and Output testing
  • Practical exposure to:
    • Hardware and software tools.
    • Solution providing for real time problems.
    • Working with team/ individual.
    • Work on Creative ideas.
    • Project development Skills
    • Problem analyzing skills
  • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills

Demo Video

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