Progress 09/01/00 to 08/31/05
Outputs 4d Progress report. This final report serves to document research conducted under a Bi- National Agricultural Research Development (BARD) project. Additional details of research can be found in the report for the parent project 1265-42000-008-00D, entitled "Development of Technology for Automated On- Line Inspection of Animal Carcassesses and Plant Produce." Continued efforts have been made to implement the hardware architecture of the x- ray imaging system and the laser stereo imaging system for on-line acquiring poultry images. X-ray and laser imaging detection of bone and hazardous materials in deboned poultry were integrated. Specifically, research achievements include 1) Established on-line dynamic x-ray imaging system, developed multi-tasking real-time control algorithms and software. The hardware has been under the control of software which established the foundation for further integration steps. 2) Had breakthrough in an on-line real-time pixel registration
of fillet images. This is essential for the image processing of object data flow. 3) Further, had enabled concurrent sensor imaging acquisitions and image processing while the conveyer is running, achieved real-time imaging and processing.
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Progress 10/01/03 to 09/30/04
Outputs 4. What were the most significant accomplishments this past year? This report serves to document the research efforts under a Reimbursable Agreement with the University of Maryland, College Park, with Prof. Yang Tao as Principal Investigator. Additional details of research can be found in the report for the parent project 1265-42000-008-00D "Development of Technology for Automated On-Line Inspection of Animal Carcasses and Plant Produce." During this year, efforts have been made to implement the hardware architecture of the x-ray imaging system and the laser stereo imaging system for on-line acquisition of poultry images. Special research achievements include establishment of an on-line dynamic x-ray imaging system and development of multi-tasking real-time control algorithms and software. These include integration of hardware and software, on-line real-time pixel registration of fillet images, and concurrent sensor and image data acquisitions and image processing
to achieve real-time operation.
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