An Intelligent Machine Vision System for Automated          Inspections Tasks
{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}
{'SignBlockName': 'Joyce', 'PO_EMAI': None, 'PO_PHON': None}
The principal investigator will develop an automated inspection            system that bridges the gap from computer aided design (CAD) models             to machine vision algorithms.  The system will start with a CAD model           of a part augmented by information on the material and texture of the           part, constraints on the camera and lighting configurations, and a              set of inspection specifications.  It will produce a vision model and           a vision procedure that can be used to automatically inspect the                part.  The main thrust of this research will be to develop an                   off-line system that can (1) predict features that will appear in               images of the part under various conditions, (2) suggest alternate              lighting and sensor arrangements for certain objects, and (3)                   automatically generate the vision procedures for inspecting the part.
[{'FirstName': 'Robert', 'LastName': 'Haralick', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert M Haralick', 'EmailAddress': 'haralick@gc.cuny.edu', 'NSF_ID': '000176526', 'StartDate': '09/01/1988', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Linda', 'LastName': 'Shapiro', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Linda G Shapiro', 'EmailAddress': 'shapiro@cs.washington.edu', 'NSF_ID': '000309656', 'StartDate': '09/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'ZipCode': '981951016', 'PhoneNumber': '2065434043', 'StreetAddress': '4333 BROOKLYN AVE NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'WA07', 'ORG_UEI_NUM': 'HD1WMN6945W6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WASHINGTON', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '6840', 'Text': 'ROBOTICS'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8714809.xml'}