Vehware Project

"Single camera detecting person via OpenCV -   Senior Project for a dual diploma team that would put together a "motion detection" mostly "person motion detection" from a video stream. The goal would be to alert a truck driver when he is backing up that a person is behind the truck. I checked out OpenCV as the basis for this capability using python. OpenCV comes with a body detector and we have used it in some of our work, so adapting it to a student project should be reasonable. The challenge is to get representative and realistic data so that you can define and then estimate an error metric"

Project Plan:

1 DEFINITION There are several cases that truck driver hits a worker behind the device. Since trucks are long vehicles and trails of them blocks drivers vision, these kind of accidents becomes inevitable. In order to provide a safe back driving for truck driver, It is thought that setting a mechanism at the back of trails which warn them wheter there is a person or not. With this project we as Vehware team, would like to decrease count of live losts and damages. 1.1 Project Background and Overview 1.2 Business Objectives 1.3 Project Objectives 1.4 Project Constraints 1.5 Project Scope 1.6 Project Scope Inclusions 1.7 Project Scope Exclusions 1.8 Project Assumptions 1.9 Project Deliverables 1.10 Project Completion

2 APPROACH 2.1 Project Strategy 2.2 The Project Schedule

3 PROJECT COSTS / BUDGET 4 PROJECT MANAGEMENT PLAN 4.1 Project Structure 4.2 Meeting Structure 4.3 Roles and Responsibilities 4.4 Project Communication Plan 4.5 Document Management 4.6 Project Risk Management 4.7 Change Management 4.8 Issues Management 4.9 Escalation Procedures

Posible solutions:

After the problem is analyzed well, we consider possible solutions which on the side of hardware and software.

Software solutions:

The paper[1] can be a referance since it is demonstrated on a conferance. If a paper cited 150 times and pass over 10 years on it, the problem must have been solved We should study it well when we access to BU network.

Hardware solutions: which hardware does fit best for possible solutions ? A camera with image processing or kinect like motion trackers ? can raspbery pi 2 or similar handle these software solutions? Input devices: intel realsense Camera: able to determine distance of a object, low range, low price considered to kinect. kinect: :higher range, able to classify movement of a human as default, high price($150) double cam: :cheapest solution. more programming work and CPU power required Infrared cam :reasonable cost $40, easy to detect human, difficult to detect other objects.

Input devices are listed based on Phd student's suggestions.