Revisor is an advanced AI application designed for monitoring electoral processes through neural networks and computer vision technology. It offers high precision in tracking voting events, achieving up to 98% accuracy in distinguishing actual voting activities from other actions at polling stations. This software is particularly valuable for election observation missions, providing a cost-effective alternative to traditional monitoring methods while enhancing the oversight capabilities of electoral procedures.

The system is trainable, allowing customization for various voting systems and procedures worldwide. Revisor can identify multiple types of electoral violations, assist in manual recounts, and analyze video recordings to produce immediate or long-term results. Its efficiency has been demonstrated through successful detection of discrepancies in voter turnout, making it a reliable tool for ensuring compliance with electoral regulations.