Revisor

REVISOR is a software package powered by neural networks and computer vision technology, specifically designed to monitor electoral procedures and accurately count the number of voters. This cutting-edge software can be implemented during election observation missions at a fraction of the cost of traditional methods.

The Revisor system excels in tracking physical objects, detecting voting events, and distinguishing them from other activities occurring at a polling station with exceptional precision, boasting an accuracy rate of up to 98%. Furthermore, this neural network is trainable, allowing customers to effortlessly adapt it to different voting procedures, elections, and electoral systems anywhere in the world.

One of the system's key benefits is its proficiency in detecting various types of violations, ultimately expediting manual recounts. Through the analysis of video recordings, Revisor yields immediate post-election results as well as retrospective analysis for months or even years later.

Revisor is a swift, reliable, and cost-effective software solution designed to detect ballot boxes on video records, accurately count the number of voters who cast their ballots, identify polling stations with falsified turnout, facilitate the creation of formal complaints, and accelerate manual recounts. The success stories surrounding Revisor showcase its capacity to identify discrepancies between official and actual turnout at polling stations, thereby alerting users to resolve any criminal activities that may be linked to these anomalies.

Overall, Revisor stands as an effective AI tool that harnesses the power of neural networks for monitoring elections and ensuring compliance with electoral procedures.