REVISOR is a neural network-based software package that uses computer vision technology to monitor electoral procedures and count the number of actual voters.
This software can be deployed during election observation missions for a fraction of the cost of traditional methods. The Revisor system tracks physical objects, detects voting events, and distinguishes them from other activities at a polling station with high precision (up to 98% accuracy).
It is also a trainable neural network, which means that customers can teach it to work with different types of voting procedures, elections, and electoral systems in any country. The system can detect multiple types of violations and speed up manual recounts.
More details about Revisor
Can Revisor be trained to work with different types of voting procedures?
Yes, Revisor can be trained to work with different types of voting procedures. The system is a trainable neural network and customers can customize it to suit various election procedures and systems.
What key features does Revisor have?
Revisor’s key features include the ability to detect and outline ballot boxes on video records, accurately count the number of voters, identify falsified turnouts at polling stations, detect different types of violations and draft a formal complaint. It can also speed up manual recounts.
How does Revisor help in drafting a formal complaint?
Revisor assists in drafting a formal complaint by identifying polling stations with falsified turnout by comparing the real turnout to the officially published results. The precise details of this complaint drafting process aren’t specified on their website.
What can Revisor do?
Revisor can detect ballot boxes on video recordings, count the number of voters who cast their ballots, identify polling stations with falsified turnout, draft a formal complaint, and also speed up manual recounts.
