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REVISOR

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About

Revisor is a neural network-based software package designed for counting actual voters and monitoring compliance with electoral procedures. It offers AI-enabled monitoring that is fast, reliable, and inexpensive, capable of covering 100% of polling stations. The system can learn to recognize physical objects, track movements, and detect voting events. It independently counts voters with high precision (up to 98% accuracy). Revisor can be trained to work with different types of voting procedures in any country and can process video recordings immediately after an election or years later. It helps detect ballot box tampering and discrepancies in voter turnout.

Platform
Web
Keywords
neural networksfraud detectionballot box detectionvoter countingelection monitoring
Task
election monitoring

Features

identify polling stations with falsified turnout comparing the real turnout to the officially published results

count the number of voters who cast their ballots

detect some types of violations

identify parameters of box location

identify the type of the ballot box

detect a ballot box’s outline and its top

detect ballot boxes on video records

draft a formal complaint for falsified turnout detected by the system itself (unclear if this is fully automated or if the system generates draft suggestions based on observed data for manual

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