Revisor
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About
Revisor is an AI-powered neural network system designed for election monitoring. It offers a cost-effective solution by deploying thousands of virtual poll watchers, capable of covering all polling stations in a target constituency. Revisor utilizes advanced object recognition to track voter movements and detect voting events, achieving a high precision count of actual voters, with accuracy rates up to 98%. Its capabilities include detecting ballot boxes, counting turnout, identifying discrepancies between official and actual voter turnout, and providing insights for potential electoral violations. The system can learn to adapt to different voting procedures and is designed to analyze video recordings for immediate or later result reporting. It has been operational since December 2019 and has processed extensive video footage to uncover electoral fraud.
Platform
Features
• processes video records for immediate analysis
• trainable for various electoral systems
• generates reports on discrepancies
• tracks relative movements
• identifies polling station violations
• detects ballot boxes
• counts actual voters accurately
• neural network-based software
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