Advanced Driver Assistance System - ADAS using Raspberry Pi and OpenCV

SKU: PAN_EMB_002 Categories: , Tag:

Description

 

OBJECTIVE:

The main objective of this project is to safety and security with an autonomous region-based automatic car system.


 

ABSTRACT:

A new approach toward automobile safety and security with an autonomous region-based automatic car system is proposed in this concept. We propose three distinct but closely related concepts viz. a Drowsy Driver Detection system and a traffic detection system with external vehicle intrusion avoidance based concept. In recent time’s automobile fatigue-related crashes have really magnified. In order to minimize these issues, we have incorporated a driver alert system by monitoring both the driver’s eyes as well as sensing as well as the driver situation-based local environment recognition-based AI system is proposed.


Advanced Driver Assistance System – ADAS using Raspberry Pi and OpenCV

EXISTING SYSTEM:

IR sensor placed on the eye for fatigue detection the problem with the system is having user aiding in complex with placing sensor over the eye directly. The system GPS-based location sharing services when an accident happened with the GSM module. The status of the vehicle is analyzed when the vehicle accident is detected. 


Advanced Driver Assistance System – ADAS using Raspberry Pi and OpenCV

DRAWBACKS:

  • Performance depends on the compiler
  • Poor code density
  • Does RISC have a fixed size instruction? format
  • A small number of instructions

Advanced Driver Assistance System – ADAS using Raspberry Pi and OpenCV

PROPOSED METHOD:

  • ML is applied for the detection of eye detection and region classification
  • Driver Assistance system with camera
  • External vehicle availability detection
  • Human detection-based attention speech assistancePANEMB02 02

Advantage:

  • Driver Assistance system with cameras focusing user hash free user assistance provided.
  • M2M communication systems.
  • Alcohol Detection System in Cars? provides an automatic safety system for cars and other vehicles as well.

BLOCK DIAGRAM:

adas


HARDWARE TOOLS:

  • Raspberry pi
  • Web Camera
  • Ultrasonic SENSOR
  • Seatbelt Sensor
  • Alcohol Sensor
  • Main Processor: 2GHz
  • Ram : 2 GB(min)
  • Hard Disk: 80 GB

SOFTWARE TOOLS:

  • Windows OS
  • ?Python
  • Java language
  • JDK 1.7
  • MySQL
  • NetBeans IDE 7.1.2
  • IDLE
  • OPEN CV

Technology:

  1. NOT
  2. OPEN CV
  3. DATA ANALYSIS

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