SCHEDULE NPR SCHEDULE HOUSEHOLD SCHEDULE NO OF SCHEDULES

SCHEDULE

NPR SCHEDULE

HOUSEHOLD SCHEDULE

NO. OF SCHEDULES HOUSELISTING SCH. : 16, 95, 668 N. P. R. SCHEDULE : 1, 57, 32, 715 HOUSEHOLD SCH. : 1, 58, 68, 575

STORAGE OF SCHEDULES

SCANNING OF SCHEDULES

DATA PROCESSING CENTER

PROCESSING PROJECT

e. Flow Workflow Stages Server e s ba I CI Export/Archival Exception Completion/QA/Arb Tiling Recognition Scanning Prepare Batch AS / ta a D

OVERVIEW OF e FLOW e. FLOW platform modules consists of the: Controller, Designer and Statistics. The Module Activator is used to run the modules. Through the Module Activator, you operate the Integra’s modules: the Enterprise Portal, Content Recognition, Content Validation, and Content Delivery modules, which comprise the full datacapture process. The number of instances of each module that can be utilized in run time is limited only by the number of relevant licenses, ensuring full system scalability for future needs.

Unmanned

ENTERPRISE PORTAL FILE Portal Module To supply image files of previously scanned forms to the e Flow system. These image files are those which are decrypted in the Data Centre.

FORM ID MODULE Portals form identification Automatically identifies a form using Empty Form Images (EFI) which are defined during the design stage COLLECTION ORGANIZER MODULE When the FORMID Module cannot identify the form due to poor scanning resolution or other difficulties the user can manually match a scanned image with the proper Empty Form Image (EFI)

FORM-ID STATION

MANUAL-ID STATION

PROCESSING / RECOGNITION The images undergo image enhancement, form out ( removes the form’s template) FORMOUT sends each field to its designated Virtual Engines for Character recognition (OCR /ICR/ OMR) is achieved by a sophisticated combination of recognition engines using Ti. S‘ multiple engine voting (“Virtual Engines”) The benefits of Form removal : Better recognition results Reduced network traffic Decreased storage space

IMAGE FOR PROCESSING (DROP OUT AT THE TIME OF SCANNING)

PROCESSING Most important station Automatically Recognises as much data possible Automatic recognition is not 100% accurate Inaccurate data requires human intervention OCR/ICR have a positive effect on throughput as long as false positives (characters incorrectly identified) are controlled Use of Virtual recognition Engines with multiple, selectable voting algorithms to increase accuracy and, decrease false positives

PROCESSING STATION

TILE • The unique TILE module optimize data accuracy with a systemized display of characters grouped together to allow easy identification • Possible to identify which characters are correct and which are not and allows to mark as reject. • Makes the completion more accurate • Maximizes the cognitive abilities of the human eye as a sophisticated recognition engine for quick and efficient prevention of substitutions (False Positives)

TILING STATION

COMPLETION STATION The fields not recognized by the ICR will be manually typed by the Completion Station.

EXCEPTION When the operator is unable to accurately identify a specific data item, the form is sent to the Exception Module/Station The Exception Module handles forms that require a supervisor’s attention and allows the operator to advance to the next form If the exception is raised by the completion station , then the batch will go to the Exception Station for the completion of those fields only which were not understood by the completion station. After This Station , the batch will go to the Merge Station.

STATION It is an auto station which will automatically prioritize the remaining batches when the 80% of the batches comes in this station. If the 100% of the batch comes in this station, then it will send the batch in the Export Station.

ACHIEVEMENT Ø Ø Ø WE STOOD FIRST IN SCANNING OF SCHEDULES AMONG LARGER STATE IN INDIA. SCANNING & EFLOW OF HOUSELISTING OF C. G : - 6, 05, 132 HOUSELISTING : - E-FLOW OF THREE DISTRICTS OF U. P HOUSEHOLD : - E-FLOW OF TWO DISTRICTS OF C. G: HOUSEHOLD : - E-FLOW OF FIVE DISTRICTS OF JHARKHAND

Thanks