1) The document describes a vision-enabled intelligent robotic transportation system that uses image processing to identify defective objects on an intelligent conveyor belt and a manipulator to eliminate them. 2) The system acquires images using a webcam, identifies the location and shape of objects, and eliminates defective objects based on practical testing. 3) A technical paper on the image processing and robotics aspects of the system was well received at a conference and selected for journal publication.

1. Vision Enabled Intelligent Robotic Transportation System With Defective Object Elimination Extension to: Intelligent Conveyor Belt System (2007) Under the aegis of Mr. Yogesh V. Hote Ritu Srivastava 469/IC/04 Sachit Bakshi 476/IC/04 Shrey Khanna 481/IC/04 Shruti Bansal 482/IC/04

3. System Setup

4. Manipulator works on co-ordinate system. Serially interfaced with PC in MATLAB. Image acquired using a webcam. Location and shape of object is identified. Elimination on the basis of a more practical level testing. 2007 2008

6. System Components

7. Amalgamation of gamut of engineering applications viz. Robotics, Image Processing, Sensors and Embedded Systems, is done. A synchronization between the MATLAB program execution, manipulator’s pick and place operation and response of visual inspection system is established.

8. ‡ Proper ambient light was provided to reduce disturbances in the picture.

9. Robotics: RV-M1

10. Visual Inspection 1 2 3 4 5 1 2 3 4

11. Hardware Circuit

12. Conclusion

13. Acceptance Letter from WSEAS for presentation in ICAI’08, Romania. Technical Paper “ Vision Enabled Intelligent Robotic Transportation System ” that contained only Image Processing and Robotics part of this project has been well received and quoted as “ among the best papers for the conference ” and hence, has been selected for journal publication .

14. System Run

15. References

16. Thank You