@INCIndia Phase 3: Rapid Human Review and Verification (Estimated Time: 1 Day)
Prioritized Review List: The AI system will generate a concise and prioritized list of potential duplicates, complete with confidence scores for both facial and data matches.
@INCIndia This transformation from a laborious manual task to a high-speed, AI-driven process involves a three-phase approach that leverages the power of high-speed scanning, optical character recognition (OCR), facial recognition, and advanced data matching algorithms.
@INCIndia Advanced Data Matching: For the textual data (names and addresses), several layers of analysis are applied to find similarities that might indicate a duplicate entry: Fuzzy Matching: Algorithms like Levenshtein distance and Jaro-Winkler are used to identify names.
@INCIndia Facial Recognition: All the extracted voter photographs are cross-referenced against each other using a facial recognition system. This technology is capable of identifying potential matches with a high degree of accuracy, even with variations in image quality.
@INCIndia Phase 2: AI-Powered Duplicate Detection (Estimated Time: 1-2 Days)
Once the voter data is digitized, AI algorithms can perform the comparative analysis that previously took months of human effort.
@INCIndia This eliminates the need for manual data entry and is significantly faster and less prone to human error. Facial Detection: Simultaneously, a facial detection. algorithm will identify and crop each voter's photograph from the scanned sheets, preparing them for the next phase
@INCIndia Automated Data Extraction: As the documents are scanned, they are fed into an AI-powered data extraction pipeline: Optical Character Recognition (OCR): Advanced OCR technology, such as that offered by Google's Document AI or other commercial software like ABBYY FineReader.
@INCIndia Phase 1: High-Speed Digitization and Data Extraction (Estimated Time: 1 Day)
High-Speed Scanning: Instead of manually reading each sheet, multiple high-speed document scanners can be employed to digitize the entire voter list.
What a remarkable Milestone @isro ..!!
This entire journey of #Chandrayaan3 has taught us so many lessons.
Never give up on your dreams, learn from your failures..!! A belief can do wonders.
#ProudIndian
@shubhsinghnft This graph trend is clearly mocking the theory of sudden increase in temperatures only in the last two-three decades due to urbanisation, industrialisation, rapid population expansion etc. Seems these have minimal effect on the temperature. We still don't have enough clarity