Revisor
Your Unblinking Poll Watcher™
Revisor is a neural network-based software package designed for monitoring 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 post-election and detection of violations.
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Features
- 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
- Speed up manual recount
Advantages
- Fast and reliable monitoring
- Cost-effective election observation
- High precision in voter counting
- Trainable neural network for different electoral systems
- Immediate results post-election
Disadvantages
- Dependence on video recordings
- Requires setting up cameras at polling stations
- 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 falsified turnout, draft complaints, and speed up manual recounts. -
Q:How does Revisor work?
A:Revisor operates based on neural networks to recognize physical objects, track movements, and detect voting events from 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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