
Revisor
Your Unblinking Poll Watcherâ„¢

Revisor is a neural network-based software package designed for monitoring compliance with electoral procedures and counting the number of actual voters. It utilizes AI-enabled monitoring to provide fast, reliable, and cost-effective election observation missions with high precision in voter counting. The system is trainable and can work with different types of voting procedures and electoral systems in any country. Revisor operates based on video recordings, allowing immediate results after an election or even months and years later.
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Features
- Detecting ballot boxes on video records
- Counting the number of voters who cast their ballots
- Identifying polling stations with falsified turnout
- Drafting formal complaints
- Speeding up manual recount
Advantages
- Fast and reliable monitoring
- Cost-effective election observation
- High precision in voter counting
- Trainable system for different electoral systems
- Immediate results based on video recordings
Disadvantages
- Dependence on video recordings
- Initial setup and training required
- Potential limitations in detecting all types of violations
Frequently Asked Questions
-
Q:What can Revisor do?
A:Revisor can detect ballot boxes, count voter turnout, identify violations, and speed up manual recount. -
Q:How does Revisor work?
A:Revisor operates based on neural networks to recognize physical objects, track movements, and detect voting events on video recordings. -
Q:What are the development stages of Revisor?
A:Stage 1: Prototype (December 2019 - July 2020), Stage 2: System finalization (August 2020 - September 2021), Stage 3: Current time.
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