AI-Powered Exam Integrity
Next-generation AI proctoring that ensures exam integrity through real-time computer vision, behavioral analysis, and intelligent monitoring — all running client-side in the browser with zero installs.
Comprehensive exam monitoring
Eight interconnected systems work together to provide layered exam integrity — from computer vision input to intelligent enforcement and real-time feedback.
Face Detection
MediaPipe-powered real-time face detection with temporal smoothing and multi-frame validation for robust presence monitoring
Gaze Estimation
Iris landmark tracking for precise screen focus monitoring with configurable tolerance zones and off-screen detection
Face Matching
Deep learning identity verification comparing live video feed against enrollment photo with anti-spoofing measures
Integrity Scoring
Multi-signal fusion engine computing real-time exam integrity confidence from all monitoring subsystems
Browser Lockdown
Comprehensive browser security preventing tab switches, copy/paste, dev tools access, and fullscreen exit
Warning Manager
Intelligent violation escalation system with weighted scoring and progressive alert levels from advisory to critical
AI Proctor Agent
Intelligent monitoring agent with contextual decision-making that distinguishes genuine violations from normal behavior
Proctoring Overlay
Real-time visual feedback layer displaying status indicators, warnings, and confidence metrics to the candidate
Precision at every layer
From video capture to integrity decision
Every frame passes through a five-stage pipeline that transforms raw video into actionable integrity intelligence in under 200 milliseconds.
Video Capture
Camera stream at 30fps with WebRTC optimization
Computer Vision
MediaPipe face mesh and iris landmark extraction
Signal Fusion
Multi-signal integrity scoring with weighted aggregation
Action Layer
Progressive warning escalation and browser lockdown
Feedback Loop
Real-time overlay and exam integrity reporting
Four-tier confidence scoring
The Integrity Engine continuously computes a confidence score fusing signals from all monitoring systems. Each tier triggers appropriate responses.
Candidate fully engaged with consistent gaze, verified identity, and no violations detected.
Minor deviations within normal behavior tolerance. Brief off-screen glances or momentary face occlusion.
Multiple soft violations accumulated. Extended off-screen activity or repeated tab switch attempts.
Severe integrity compromise detected. Prolonged face absence, identity mismatch, or repeated critical violations.
Weighted warning system
The Warning Manager uses exponential weighting to distinguish between accidental deviations and deliberate violations, ensuring fair and proportional responses.
Informational notice — brief gaze deviation or momentary face partial occlusion
Moderate concern — extended off-screen activity or repeated soft violations
Serious concern — tab switch detected, face absent for extended period
Severe violation — identity mismatch, dev tools opened, or multiple critical flags
Built different by design
Privacy-first architecture with zero-install deployment. All computer vision runs client-side — no video data ever leaves the candidate device.
Zero-Install
Runs entirely in the browser with WebRTC — no downloads, plugins, or extensions required
Privacy-First
All computer vision processing happens client-side — no video streams leave the candidate device
Adaptive Thresholds
AI-calibrated sensitivity that adjusts to lighting, camera quality, and candidate behavior
Accessibility-Aware
Accommodations for screen readers, alternative inputs, and reduced-motion preferences
Real-Time Scoring
Continuous integrity confidence score updated every frame with multi-signal fusion
Progressive Warnings
Four-tier escalation from advisory to critical with weighted violation scoring
Anti-Spoofing
Liveness detection prevents photo and video replay attacks during identity verification
Technical specifications
Seamless exam journey
From enrollment to certification, the proctoring system works invisibly in the background — candidates focus on the exam, not the technology.
Enrollment
Candidate captures enrollment photo for identity baseline
System Check
Camera, browser, and connectivity verification
Identity Match
Live face verified against enrollment photo
Active Monitoring
Continuous AI proctoring throughout exam session
Integrity Report
Final score and session audit trail generated
Multi-signal fusion for accurate decisions
No single signal determines integrity. The system fuses multiple data streams with weighted confidence to reduce false positives and ensure fairness.
Face Presence
Continuous face detection with temporal smoothing. Momentary occlusions (sneezing, scratching) are tolerated. Extended absence triggers escalation.
Gaze Direction
Iris landmark tracking maps gaze to screen regions. Short off-screen glances are normal. Sustained off-screen attention is flagged.
Identity Match
Live face compared to enrollment photo using deep feature extraction. Cosine similarity threshold with liveness verification.
Browser Integrity
Monitors tab visibility, fullscreen state, dev tools status, and keyboard shortcuts. Binary violation events with immediate detection.
Behavioral Pattern
AI agent analyzes overall behavioral patterns. Distinguishes natural exam behavior from suspicious activity using contextual reasoning.
Temporal Consistency
Evaluates signal stability over rolling time windows. Sudden changes in multiple signals simultaneously indicate potential compromise.
Your data stays on your device
AI Proctor is engineered with privacy as a foundational principle. All computer vision and behavioral analysis runs entirely in the browser.
Client-Side Processing
Data Minimization
Transparency
Compliance
Exam integrity you can trust
Take a proctored exam and see the AI monitoring system in action. Real-time computer vision, intelligent analysis, and instant feedback — all running privately in your browser.