Revisor
Your Unblinking Poll Watcher™
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 can detect ballot boxes, identify violations, and compare real turnout to official results. Revisor is trainable to work with different voting procedures and electoral systems, providing immediate or long-term results based on video recordings.
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Features
- Detect ballot boxes on video records
- Identify ballot box outline and top
- Count the number of voters who cast their ballots
- Identify polling stations with falsified turnout
- Speed up manual recount
Advantages
- Fast and reliable monitoring
- Cost-effective election observation
- High precision in voter counting
- Ability to detect violations
- Trainable for different voting procedures
Disadvantages
- Dependence on video recordings
- Requires setting up cameras
- 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 utilizes 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 (Multiple voting detection module since October 2021).
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