REVISOR
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About
REVISOR is a neural network-based software package designed for monitoring electoral procedures and counting actual voters. It offers fast, reliable, and inexpensive AI-enabled oversight, capable of deploying thousands of virtual poll watchers covering 100% of polling stations for a fraction of the cost of traditional methods. The system utilizes neural networks to recognize physical objects, track movements, detect voting events, and distinguish them from other activities at a polling station. It can count voters with up to 98% accuracy. REVISOR is trainable, allowing customers to adapt it to different voting procedures, elections, and electoral systems globally. Its capabilities include detecting ballot boxes, identifying their type and location parameters, detecting violations, and counting turnout. It can identify polling stations with falsified turnout by comparing real data to official results, helping to draft formal complaints and speed up manual recounts. The system operates based on video recordings, enabling results to be obtained immediately or years later.
Platform
Features
• detect ballot boxes on video records
• identify polling stations with falsified turnout
• count voter turnout with high precision
• detect electoral violations
• analysis of video recordings for post-election review
• trainable for various voting procedures and countries
• support for drafting formal complaints
• identify ballot box type and location
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