
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
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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