Revisor

The software package called REVISOR utilizes computer vision technology to monitor electoral procedures and accurately count the number of voters. This neural network-based software is a cost-effective alternative to traditional methods and can be used during election observation missions. With a high precision rate of up to 98%, the Revisor system can track physical objects, detect voting events, and distinguish them from other activities at polling stations. It is also a trainable neural network, allowing customers to customize it for different voting procedures, elections, and electoral systems in any country. The software is capable of detecting various types of violations and can expedite manual recounts. It can be applied to video recordings, providing immediate results after an election or even months and years later. Revisor is a reliable and affordable system designed to identify ballot boxes on video records, count the number of voters, identify polling stations with falsified turnout, generate formal complaints, and speed up manual recounts. Numerous success stories demonstrate how Revisor has detected discrepancies between official and actual turnout at polling stations, enabling users to address any crimes or anomalies. Overall, Revisor is an effective AI tool that utilizes neural networks to ensure election monitoring and compliance with electoral procedures.