What is Revisor?
REVISOR is a neural‑network system that counts voters and monitors compliance at polling stations through video analysis. It detects ballot boxes, tracks their positions, and distinguishes voting events from other activity with up to 98 % accuracy. The system flags turnout discrepancies, highlights potential fraud, and can generate formal complaints based on evidence.
Election observers, government agencies, and civil‑society watchdogs can deploy thousands of cameras and receive immediate results after elections. The AI can be trained for any voting procedure, enabling adaptation to diverse electoral systems worldwide.
Revisions in operation include real‑time monitoring, post‑election recount support, and detailed violation reports. The software operates on recorded footage, allowing analysis months or years after voting. It was used to process 1 million hours of footage and identified 30 % of falsified votes in a large national election.
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Revisor's key features
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Neural network counts voters accurately
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Detects ballot boxes and outlines
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Identifies voting events versus other activity
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Detects multiple voting fraud
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Compares actual turnout to official results
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Trainable for diverse election types
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Provides immediate post-election analysis
Revisor use cases
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Real-time monitoring of voter turnout at polling stations using REVISOR to detect anomalies and flag potential fraud before election day ends
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Post‑election recounts with REVISOR’s video analytics to verify ballot box counts and automatically generate detailed violation reports for audits
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Automated compliance audit reports from REVISOR that track ballot box detection and turnout discrepancies, enabling rapid investigations and transparent evidence collection
Who is it for?
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Data analysts
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Government regulators
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Election auditors
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Technology developers
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Legal advisors