AI R&D — Election & Security

Election & Security
AI Solutions

Mechanism-driven AI for the integrity of elections — from voter registration to ballot recognition and polling station surveillance.

Overview
Trust, Built Into Every Layer

Elections tolerate zero errors. We model the mechanism of each problem first — face capture, mark detection, physical security — then build AI that quantifies and protects integrity at every stage of the electoral process.

// A — Election · Vision AI
Voter Registration
Face Quality AI

Real-time quality measurement and correction of face images captured at registration sites. Automatic brightness adjustment for dark skin tones eliminates registration bias, while OFIQ metrics based on ISO/IEC standards quantify multi-dimensional face quality.

A-01
Auto Brightness for Dark Skin Tones

Eliminates skin tone bias. Adaptive exposure correction optimized for low-contrast faces.

Bias CorrectionAdaptive Exposure
A-02
OFIQ Face Quality Scoring

ISO/IEC 29794-5 standard — multi-dimensional evaluation of pose, lighting, and sharpness.

OFIQISO/IEC 29794-5
Voter registration face quality AI

Real-time Face Quality Scoring & Brightness Correction

// B · C — Election · Ballot AI
Ballot Mark Recognition
& Scanner Calibration

A precision AI pipeline from mark recognition to scanner sensor calibration — mechanism-driven by design, with zero tolerance for error.

Ballot recognition AI

Mark Recognition · Contamination Check · IR/RGB Analysis

Mark Recognition
B-01
Anchor Detection & Mark Localization

Automatic anchor point detection for precise mark coordinate mapping. Real-time skew and distortion correction.

Anchor DetectionAffine Transform
B-02
Mark Validity Scoring

Mark validity output as probability scores. Handles incomplete and duplicate mark edge cases.

Confidence ScoreValidity AI
B-03
IR Channel Analysis

Infrared imaging separates ink components and mark traces. Detects marks invisible to visible light.

IR ImagingSpectral
B-04
RGB Channel Analysis

Color, shape, and density analysis of marks. Ensemble verdict with IR results.

RGB VisionEnsemble
Ballot Contamination Check
B-05
Vertical Streak Detection & Removal

Auto-detect and filter vertical scan artifacts from the ballot image.

Artifact Removal
B-06
Foreign Object Detection

Distinguish dust, stains, and debris from ballot marks with no false positives.

Foreign Object
B-07
Paper Damage Detection

Classify tears, folds, and moisture damage. Assign readability confidence flags.

Damage Flag
Scanner Noise Removal & Sensor Calibration
C-01
Horizontal Line Noise Removal

Real-time detection and restoration of horizontal streak artifacts caused by CIS sensor faults or electrical noise.

Horizontal NoiseCIS Correction
C-02
Cross-Scanner Calibration

Auto-learns correction parameters so scanners of different models produce identical output quality.

Cross-ScannerAuto Calibration
// D — Security · CCTV AI
Polling Station CCTV
Anomaly Detection

Real-time AI analysis of CCTV footage at polling stations. People counting, trajectory tracking, and ballot box movement detection — guarding the physical integrity of elections around the clock.

D-01
People Count & Trajectory Tracking

Real-time headcount, movement path tracking, and automatic alert on unusual crowding.

People CountingTrajectory
D-02
Ballot Box Movement Detection

24/7 position monitoring. Instant alert on unauthorized ballot box movement.

Object TrackingTamper Alert
Polling station CCTV anomaly detection

Real-time People Detection & Ballot Box Alert

// E — AI Chatbot & Training
Election Equipment Training
AI Call Center Chatbot

A RAG-based AI diagnostic system for election operations staff and a multilingual call center chatbot. Provides real-time equipment troubleshooting in local languages including Arabic and English.

E-01
RAG-based Diagnostics

Retrieval-augmented guidance grounded in real equipment manuals — step-by-step troubleshooting for field staff.

RAGKnowledge Base
E-02
Multilingual Support

Real-time call center automation in local languages including Arabic and English.

ArabicEnglish
Arabic chatbot interface
Miru AI Assistant — Arabic Interface
Field Proven
Deployed at
National Scale

Our election AI runs in real registration and polling environments worldwide
— built to perform under field conditions, not just in the lab.

PCR device cooling fan inspection

Field-Deployed Equipment — Real Operating Conditions

Our Approach
How We Build
Differently

We understand the mechanism first. Then we build AI on top of it.

01
Mechanism-First Design

We model the mechanism of a problem before feeding any data. Structure is designed first, then AI is built on top.

02
Multi-Modal Sensing

IR + RGB, thermal + visible, dual cameras — we overcome single-sensor limitations with complementary modalities.

03
Trust by Design

In elections, AI trustworthiness is a prerequisite, not a feature. Auditable, unbiased, explainable AI is our default.

Get in Touch
Bring Verified Integrity
to Your Elections
Contact Us

#601, 1-dong, Pangyo Seven Venture Valley II, 17, Pangyo-ro 228beon-gil 

Bundang-gu, Seongnam-si, Gyeonggi-do, 13487, Republic of Korea


Copyright © 2026 Miru Systems co., Ltd. All Rights Reserved.

1 Dong-601 Ho, (Sampyeong-dong, Pangyo sevenventure valley 2 dangi) 17 Pangyo-ro 

228 beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea 

13487

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Copyright © 2026 Miru Systems co., Ltd. 

All Rights Reserved.