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Optimizing Census Data Capture Process for Efficiency

Learn about scanning, recognition, verifying processes, data capture, and quality assurance in the census process. Understand the solution, internal flow, and key stages to ensure accurate data collection.

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Optimizing Census Data Capture Process for Efficiency

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  1. Process Stagesof Census Surveys Richard J. Lang, International Manager September 2008, Bangkok

  2. Agenda • Scanning • Recognition • Verifying Processes • The solution • Data capture • Census Process internal • Census data flow • Quality assurance

  3. Scanning

  4. 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

  5. Scanning • Pockets 2 – 12 why: • if 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

  6. 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 consultedto give best advices, we will test and optimize. • Single side printing or higher scaled paper is necessary (shine through factor = opacity) • Paper should be white without any spots inside • Discuss different methods before making big investments

  7. EA Doc Page EA Scanning Batch Sheet Side Side 1 Image Grey Image Page Image B/W Doc Side 2 Sheet Image color

  8. The Path to Recognition • Analyze the structure of documents for identification

  9. The Path to Recognition • Perform proper clean-up and image pre-processing • Analyze individual page layout • Dynamically locate fields of interest • Character recognition (numeric handwriting, voted) • Compile results

  10. Skewed document ... …after alignment Recognition – Image Pre-processing 8 1

  11. Recognition: Noise and box removal

  12. Verifying Processes • Unique Number – double Scan check • Double feed check • Check if Copy • Trace of all editing work • Logical checks • Completeness checks • Reports

  13. The Solution: SC80HC + FC Census FC Census recognition Work Data Storage Data + Images Preparation: cut & jogg CSPro Export VSAT Archive Data Storage Batch Header Paper Archive Formx TAPE Editing 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 local • Central support from Lab • Training & documentation realised in advance • Help to design the documents

  15. Census Process internal Form Type Analysis Structure Analysis ICR voting Command Processing ICR 1 ICR 2 Editing LogicalResult Analysis ICR Result Analysis Output Assembly

  16. Server Census data flow ProcessStation 3 ProcessStation 1 ProcessStation 2 ProcessStation “n” logical Network. Process flow controlled via process queues. „outside world“

  17. Quality assurance • Form design with scanning quality check • Before delivery of paper scanning quality check • Confirm the quantity of forms • Make use of Trial Census experience • Establish checks for essential criteria only • Make day to day checks during the running Census • As soon as possible check the results and verify • Back up / Reporting • National / International Supervisors

  18. Thank you! • We are prepared for your Census

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