Revisor

AI-powered election monitoring tool that analyzes polling station footage to detect voting irregularities and count turnout.

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pollwatcher.ai
Verified API available
Quick facts
What is it AI-powered election monitoring tool that analyzes polling station footage to detect voting irregularities and count turnout.
Pricing Unknown
Platform Web Application
API Yes
Best for monitoring election integrity, detecting voting irregularities
Domain registered 2022

Data updated Aug. 1, 2026

What does Revisor do?

Revisor is a specialized AI system designed to monitor elections by analyzing video footage from polling stations. Using neural network technology, it automatically counts voters as they cast ballots, tracks compliance with electoral procedures, and detects potential violations in real-time. The system can process thousands of hours of footage, providing comprehensive coverage of entire constituencies at a fraction of the cost of human observation missions.

What makes Revisor stand out is its trainable neural network architecture, which allows it to adapt to different voting systems, ballot box designs, and electoral procedures across various countries. The system achieves up to 98% accuracy in voter counting by recognizing physical objects, tracking movements, and distinguishing voting events from other activities. It works with both live feeds and archived recordings, enabling both real-time monitoring and post-election investigations months or years after voting occurs.

This tool primarily benefits election monitoring organizations, investigative journalists, and NGOs focused on democratic processes. Its most notable real-world application was analyzing over 1 million hours of footage from the 2021 Duma elections, which revealed significant voting irregularities. Revisor helps users identify discrepancies between official turnout numbers and actual voter counts, providing evidence for formal complaints and supporting electoral integrity efforts worldwide.

#ai video analysis#compliance monitoring#election monitoring#fraud detection#neural networks#political-technology#voter turnout

Key features

What makes it stand out
01
Neural network analyzes video footage to count voters with up to 98% accuracy
02
Detects voting procedure violations and ballot box manipulation in real-time
03
Trainable system that adapts to different electoral systems and voting procedures worldwide
04
Processes massive scale - can monitor thousands of polling stations simultaneously
05
Works with archived footage for post-election analysis and investigations

Who is Revisor for?

Who benefits most from this tool
monitoring election integrity
detecting voting irregularities
investigating electoral fraud

Trust & presence

Domain Domain registered 2022

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