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Process Stages of Census Surveys Richard J. Lang, International Manager September 2008, Bangkok © Beta Systems Software AG 2008 1 Agenda Scanning Recognition Verifying The Processes solution Data capture Census Process internal Census data flow Quality assurance © Beta Systems Software AG 2008 2 Scanning © Beta Systems Software AG 2008 3 Scanning Simultaneous creation of up to six images Optical lens > 10 mm, sharpness-depth-area 3 mm Optical und ultrasonic double feed control Energy saving / live cycle extending Mode Consistent jam handling: no document is lost or double captured due to physical jams cleanness check program: detects white - and black dirt spots © Beta Systems Software AG 2008 4 Scanning Pockets if 2 – 12 why: the document is scanned skewed or de-skewed if the very important questions are filled / are readable (if OMR, OCR, Barcode) if there are fingerprints on the questionnaire or not if the Barcode/OCR/OMR numbers (not ICR) numbers are in the given range if there are double entries – we check the unique number if there are (colour) copies used if there are mismatches in quantity: Batch header shows 50 and only 40 are scanned Transport stop can be programmed to clarify the issue © Beta Systems Software AG 2008 5 Scanning Customer: I have a printer and print since long my own questionnaire …I learnt from the internet that it is just a matter of software … Before printing we should be consulted to give best advices, we will test and optimize. Single side printing or higher scaled paper is necessary (shine through factor = opacity) Paper Discuss should be white without any spots inside different methods before making big investments © Beta Systems Software AG 2008 6 Scanning Batch EA Doc Sheet Side 1 EA Page Side Image Grey Image Sheet Side 2 Doc Page Image B/W Image color © Beta Systems Software AG 2008 7 The Path to Recognition Analyze the structure of documents for identification © Beta Systems Software AG 2008 8 The Path to Recognition Perform proper clean-up and image pre-processing Analyze individual page layout Dynamically Character locate fields of interest recognition (numeric handwriting, voted) Compile results © Beta Systems Software AG 2008 9 © Beta Systems Software AG 2008 10 Recognition – Image Pre-processing Skewed document ... …after alignment © Beta Systems Software AG 2008 811 1 Recognition: Noise and box removal © Beta Systems Software AG 2008 12 Verifying Processes Unique Number – double Scan check Double feed check Check Trace if Copy of all editing work Logical checks Completeness checks Reports © Beta Systems Software AG 2008 13 The Solution: SC80HC + FC Census FC Census recognition Data + Images Preparation: cut & jogg Work Data Storage VSAT Batch Header Archive Paper Archiv e Data Storage TAPE Formx Editing © Beta Systems Software AG 2008 CSPro Local reports 14 Data capture Data Processing Centres in different locations Peak period 3 shifts, average 1-2 shifts Local operators trained by our supervisors Supervisors Central support from Lab Training Help local & documentation realised in advance to design the documents © Beta Systems Software AG 2008 15 Census Process internal Form Type Analysis Structure Analysis ICR voting Command Processing ICR 1 ICR 2 Editing Output Assembly © Beta Systems Software AG 2008 Logical Result Analysis ICR Result Analysis 16 Census data flow Process Station 1 Process Station 3 Process Station 2 Process Station “n” Server logical Network. „outside world“ © Beta Systems Software AG 2008 Process flow controlled via process queues. 17 Quality assurance Form design with scanning quality check Before delivery of paper scanning quality check Confirm Make the quantity of forms use of Trial Census experience Establish Make As checks for essential criteria only day to day checks during the running Census soon as possible check the results and verify Back up / Reporting National / International Supervisors © Beta Systems Software AG 2008 18 Thank you! We are prepared for your Census © Beta Systems Software AG 2008 19