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Revisor
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Data Analysis (291)

Revisor Verified Tool

Detecting electoral procedure violations.

Last Update: August 18, 2026

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Starting price Free

Tool Information

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.

F.A.Q (20)

Revisor is a neural network-based software package that uses computer vision technology to monitor electoral procedures and count the number of actual voters. It's a fast, reliable, and inexpensive system that can detect violations, speed up manual recounts and even generate a formal complaint.

The tool works using a trainable neural network that recognizes physical objects, tracks their relative movements and distinguishes voting events from other activities at a polling station. It can independently count the number of voters with high precision when it's deployed in election observation missions.

The tool 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.

The tool'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.

The tool detects electoral procedure violations by utilizing neural networks to recognize physical objects and identify voting events at polling stations. It detects discrepancies between the official and actual turnout at polling stations and reports these anomalies.

Yes, the tool can be used in any country. The system is trainable, meaning customers can teach it to work with different types of voting procedures, elections, and electoral systems.

The tool is highly reliable in detecting electoral violations. It has reported anomalies and discrepancies with up to 98% accuracy, depending on the relative positions of cameras and ballot boxes in a polling station.

Yes, the tool 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.

The tool can be used for various types of elections as it's a versatile system that can adapt to a wide range of voting procedures, elections, and electoral systems.

Yes, the tool can help in speeding up manual recounts. It's designed to function effectively in conduct recount processes swiftly.

The tool uses a combination of neural network and computer vision technology to monitor electoral procedures. It uses these technologies for tracking physical objects, detecting voting events, distinguishing them from other activities at polling stations and detecting violations.

Yes, the tool can identify polling stations with falsified turnout by comparing the actual voter turnout observed in the video records to the officially published results.

The tool has an accuracy rate of up to 98%, depending on the relative positions of cameras and ballot boxes in a polling station.

Yes, the tool's results can be applied to video records even months and years after an election. The software functions based on video recordings, thereby allowing for retroactive examination and assessment of election data.

The the tool system underwent several development stages: December 2019 – July 2020 the Prototype stage. August 2020 – September 2021 the System Finalization stage. The current time is the multiple voting detection module stage.

The price for using the tool isn't indicated on their website. However, it's mentioned that the tool is an inexpensive solution and offers its services for a fraction of the cost of traditional methods.

Yes, the tool can detect multiple types of electoral violations. It has the ability to recognize physical objects, track their movements and distinguish voting events, which allows for a varied range of violation detection.

The duration taken to process election data with the tool isn't specifically stated on their website, it is stated that immediate results can be obtained after an election from the software.

The tool 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.

Yes, there are success stories about the tool, such as processing more than 1 million hours of video records from Duma elections held in 2021. It revealed 30% of falsified votes in the provided sample, leading journalists to conclusions about the whole country.

Pros and Cons

Pros

  • High precision tracking
  • 98% accuracy
  • Trainable neural network
  • Customizable to different procedures
  • Detects multiple violation types
  • Speeds up manual recounts
  • Applicable to video operations
  • Immediate and long-term results
  • Fast
  • reliable
  • inexpensive
  • Detects ballot boxes on video
  • Counts actual voter turnout
  • Identifies falsified polling stations
  • Drafts formal complaints
  • Works in any country
  • No scale limits
  • Processing of million hours videos
  • Discrepancy detection between official/actual turnout
  • Can work with different electoral systems
  • Results in success stories
  • Observation mission deployment
  • Cost fraction of traditional methods
  • Poll watcher replacement

Cons

  • Requires video recordings
  • Accuracy depends on camera setup
  • Can't detect all violation types
  • Doesn't auto-resolve detected discrepancies
  • Possible false positives/negatives
  • Expensive storage for video data
  • Need to manually train system
  • Depends on quality of video
  • May miss subtle violations
  • Requires high computational power

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Overview

Pricing
Free

Applicable Tasks

elections analysis data monitor

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  • Commercial usage rights vary by plan, provider terms and jurisdiction.
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