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Introduction:
Are you concerned about the integrity of electoral procedures?
Introducing Revisor, a groundbreaking AI tool designed to detect violations in electoral processes. Powered by neural networks and computer vision technology, Revisor monitors polling stations, accurately counting voters and identifying irregularities with up to 98% precision.
With Revisor, election observation missions become more efficient and cost-effective, as this software can be deployed at a fraction of the cost of traditional methods. Its trainable neural network adapts to different voting procedures, elections, and electoral systems worldwide, ensuring its applicability in any country.
This fast, reliable, and inexpensive system not only detects ballot boxes on video records but also identifies polling stations with falsified turnout. By swiftly generating results, Revisor expedites manual recounts and enables immediate action after an election or even months and years later.
Join the success stories of Revisor, where it has uncovered discrepancies between official and actual turnout, empowering users to resolve crimes and ensure compliance with electoral procedures. Discover the power of AI in election monitoring with Revisor, your trusted ally in safeguarding the democratic process.
Overview:
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. The software can be applied to operations based on video recordings, producing results immediately after an election and/or months and years later. Revisor is a fast, reliable, and inexpensive system that is designed to 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, and speed up manual recounts.
Results from Revisor are evidenced in the success stories where it has detected discrepancies between the official and actual turnout at polling stations, reporting them to users who can resolve crimes that lead to the observed anomaly. Overall, Revisor is an effective AI tool that leverages neural networks for election monitoring and compliance with electoral procedures.
Benefits:
- Cost-effective: Revisor is a more affordable option compared to traditional methods of monitoring electoral procedures.
- Precise and accurate: The software has a high precision rate of up to 98% in tracking physical objects, detecting voting events, and distinguishing them from other activities at polling stations.
- Trainable neural network: Revisor can be trained to work with different types of voting procedures, elections, and electoral systems in any country.
- Detects multiple violations: The system can identify various types of violations, helping to ensure compliance with electoral procedures.
- Speeds up manual recounts: Revisor can expedite the process of manual recounts, saving time and effort.
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