The Challenge
Traditional smoke study validation relies on manual video review, making the process time-intensive, subjective, and difficult to scale.
- Extensive manual video review and high operational effort
- Inconsistent interpretation of airflow behavior
- Delayed validation reporting and compliance readiness
- Fragmented evidence collection and audit challenges
- Difficulty in detecting short-duration airflow disruptions
- Scalability limitations across multiple facilities
Business Objectives
Improve Validation Accuracy
Accelerate Validation Cycle
Strengthen Audit Readiness
Centralize Evidence
Enable Scalable Multi-Facility Deployment
Our AI-Powered Solution
An intelligent platform that automates the entire smoke study validation lifecycle — from secure video ingestion to AI-driven airflow analysis and audit-ready evidence.
- Smoke Study Video
- AI Video Processing
- Airflow Analysis
- Anomaly Detection
- Dashboards & Alerts
- Audit-Ready Evidence
AI-driven accuracy
Advanced models analyze every frame for precise, repeatable results.
Real-time alerts
Anomalies surface instantly with timestamped visual evidence.
Audit-ready
Structured records and evidence for complete traceability.
Enterprise-grade
Secure, scalable, and built for regulated environments.
AI Processing Workflow
1Upload Video
2Video Preprocessing
3Smoke Segmentation
4Optical Flow Analysis
5Airflow Validation
6AI Anomaly Detection
7Timestamped Alerts
8Dashboard Visualization
9Audit Repository
Solution Architecture
A cloud-native architecture on AWS, engineered for secure video processing, scalable AI inference, and end-to-end observability.
Experience Layer
- Next.js Frontend
- Web Application
- Interactive Dashboards
API & Security
- API Gateway
- NestJS Backend
- Microsoft Entra ID Authentication
Processing Layer
- AWS Lambda
- Amazon ECS
- Event-Driven Pipelines
AI / ML Layer
- AWS SageMaker
- Computer Vision Models
- Optical Flow Engines
Data & Messaging
- Amazon S3 Storage
- PostgreSQL Database
- Amazon SNS · EventBridge
Monitoring & Delivery
- Amazon CloudWatch
- AWS CodePipeline · CodeBuild
- GitHub CI/CD
Technology Stack
- Frontend
- Next.js
- Backend
- NestJS
- AI / ML · Computer Vision
- AWS SageMaker
- Storage
- Amazon S3
- Database
- PostgreSQL
- Processing
- AWS Lambda
- Processing
- Amazon ECS
- Messaging
- Amazon SNS
- Messaging
- Amazon EventBridge
- Authentication
- Microsoft Entra ID
- Security
- AWS IAM · KMS · TLS Encryption
- Monitoring
- Amazon CloudWatch
- CI / CD
- AWS CodePipeline
- CI / CD
- AWS CodeBuild
- CI / CD
- GitHub
Core Features
AI Smoke Detection
Airflow Behavior Analysis
Optical Flow Tracking
Anomaly Detection & Classification
Real-Time Alerting
Timestamped Evidence
Image-to-Alert Mapping
Interactive Dashboard
Audit Logging & Traceability
Secure User Access (SSO)
Business Benefits
Up to 70% reduction in manual review effort
Faster validation and reporting
Improved accuracy and consistency
Complete audit readiness
Centralized visibility across facilities and teams
Scalable and future-ready AI platform
Security & Compliance
- End-to-End Encryption (TLS)
- Role-Based Access Control
- Microsoft Entra ID SSO
- Audit Logs & Traceability
- Secure Cloud — AWS Security Best Practices
Future-Ready Platform
- Predictive Analytics
- Multi-Facility Monitoring
- Integration with Digital Systems
Ready to transform your validation workflows?
Let's build an intelligent, scalable, and AI-powered solution tailored to your needs.