The Revisor system is a neural network-based software package for counting the number of actual voters and monitoring compliance with some electoral procedures. This AI-enabled monitoring is fast, reliable, inexpensive and doesn’t know the limits of the scale. For a fraction of the cost, you can deploy an election observation mission with thousands of poll watchers covering 100% of polling stations in the target constituency.
The system utilizes the ability of neural networks to learn to recognize physical objects, track their relative movements, detect voting events and distinguish them from other activities at a polling station. The system can independently count the number of voters with high precision (up to 98% accuracy, depending on the relative position of cameras and ballot boxes in a polling station).
The Revisor system is a trainable neural network, so the customer can teach it to work with different types of voting procedures, elections, and electoral systems in any country. Operation based on video recordings allows results to be obtained immediately after an election and/or months and years later.