REVISOR
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About
The Revisor system is a neural network-based software package designed for accurately counting the number of actual voters and monitoring compliance with electoral procedures. This AI-enabled monitoring solution is fast, reliable, inexpensive, and scales without limits, allowing the deployment of election observation missions covering 100% of polling stations at a fraction of traditional costs. It uses neural networks to recognize physical objects, track movements, detect voting events, and distinguish them from other activities at polling stations, achieving up to 98% accuracy in voter counting. Revisor is a trainable neural network, enabling customers to adapt it to various voting procedures, elections, and electoral systems worldwide. Its video-recording based operation ensures results are available immediately after an election or even much later for historical analysis.
Platform
Features
• detect ballot boxes on video records
• trainable for different voting procedures and systems
• speed up manual recounts
• draft formal complaints for discrepancies
• identify polling stations with falsified turnout
• count voter turnout with high precision
• detect electoral violations
• identify ballot box types and locations
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