Revisor

Revisor is an AI-powered software solution that leverages computer vision technology to monitor electoral procedures and count the number of actual voters. This neural network-based system is designed to detect ballot boxes on video records, count the number of voters who cast their ballots, identify polling stations with falsified turnout, draft a formal complaint, and speed up manual recounts. Revisor can be deployed during election observation missions at a fraction of the cost of traditional methods and boasts high precision (up to 98% accuracy) in its detection of voting events. Furthermore, it is trainable so customers can teach it to work with different types of voting procedures, elections, and electoral systems in any country.

The success stories show that Revisor has been effective in detecting discrepancies between the official and actual turnout at polling stations which has allowed users to resolve crimes that lead to the observed anomaly. Results from Revisor are produced immediately after or months/years later from operations based on video recordings. This fast, reliable, and inexpensive system has helped ensure electoral integrity by providing evidence-based transparency into voting processes around the world.