This paper is published in Volume-4, Issue-1, 2018
Area
Image Processing
Author
Shubham Saurav, Syed Hanaz Tariq
Org/Univ
Bharati Vidyapeeth College of Engineering Pune, India
Pub. Date
15 February, 2018
Paper ID
V4I1-1318
Publisher
Keywords
PI Motion Sensors, MATLAB, Charged Couple Device Web Camera, Hough Transformation.

Citationsacebook

IEEE
Shubham Saurav, Syed Hanaz Tariq. Controlling Theft through Object Detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Shubham Saurav, Syed Hanaz Tariq (2018). Controlling Theft through Object Detection. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.

MLA
Shubham Saurav, Syed Hanaz Tariq. "Controlling Theft through Object Detection." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.

Abstract

An effective method is presented for the detection and tracking of objects from a video sequence captured by a Charge couple device web camera with Motion sensors using the fundamentals of Digital Image Processing in MATLAB platform for Delhi based Arts and Handicrafts company, YASIN SHAWALS. This firm was established in the year 3000 and since its inception, it has achieved the milestone in International Trade of Kashmiri goods and handicrafts. In this sponsored project we are making the system for detecting the theft issue of the expensive goods from the storehouse and to keep an eye on the motion of even the small object. Hence through this project, we are modifying the security of articulated goods. For increasing the security,  Blackt Electrotech we60 Degree PIR Motion sensor is being interfaced with the charged couple device webcam Quantum 495 Lm Camera with a picture resolution of 14 MP. The captured image is processed through Image acquisition tool and then an algorithm is used for image enhancement. Wavelets and different layers are observed minutely and morphological operations are performed for transforming the image into GRAY level. These transformed images are segmented and through filter, edges are detected. Hough Transformation is used for recognizing the object and finally, comparison of different images take place by using MATLAB.