Sigmind's TrafficFlow iTMS revolutionizes congested urban road management through real-time edge processing and autonomous anomaly detection. Currently leading data integration for the SASEC II Dhaka–Rangpur Highway Corridor (190 km) in partnership with Roads and Highways Department (RHD) and NDE, funded by the Asian Development Bank (ADB).
Edge AI Processing Layer
NVIDIA Jetson edge nodes with CUDA acceleration process 4 to 8 camera streams per junction with real-time cross-camera vehicle re-identification.
IEEE Recurrence Sorting ANPR
Proprietary license plate recognition pipeline achieves 54% error reduction over standard ANPR in fast unconstrained traffic, supporting Bangla and English.
Multi-Stream Sensor Fusion
Integrates video sensors, speed sensors, and IoT road telemetry into centralized Kafka streams with GIS map analytics and congestion prediction.
SASEC II Highway Live Dashboard
Live slow moving vehicle tracking, VDS camera telemetry & incident detection.
Click to Enlarge Full ViewProtecting national economic gateways and high-value secure zones. Deployed across the Bangladesh Export Processing Zones Authority (BEPZA) covering Dhaka EPZ and Chittagong EPZ—facilities handling over $3.5 Billion in annual export cargo—as well as Hazrat Shahjalal International Airport (Civil Aviation Authority) and Special Security Force (SSF) command perimeters.
- Zero Hardware Lock-in: Upgraded existing legacy standard CCTV infrastructure with AI edge inference, saving over 60% compared to costly proprietary ANPR cameras.
- Automated Gate Check-In & Cargo Auditing: Seamless integration into BEPZA's central ERP and automated customs data systems, eliminating manual gate logs.
- Perimeter Defense & Hotlist Interception: Real-time cross-camera tracking of unauthorized vehicles, perimeter loitering, and immediate blacklist alerts.
BEPZA Operational Deployment
Official inspection by Executive Chairman observing automated gate logistics.
Click to Enlarge Full ViewEngineered for the Finance Division, Ministry of Finance (Government of Bangladesh) to verify the identity of over 1 Million pensioners nationwide during monthly benefit disbursements. Eliminates physical travel for elderly and mobility-impaired citizens through secure, smartphone-based facial liveness verification.
Age-Invariant Face Embeddings
Deep neural architectures (FaceNet/ArcFace) optimized for senior demographic variations maintaining high matching probability above age 70.
Multi-Frame Anti-Spoofing
Real-time neural liveness detects printed photos, masks, and digital screen re-broadcasts on budget Android devices without user friction.
Sovereign GPU Scaling
Kubernetes cluster handles 100K concurrent requests using NVIDIA T4 TensorRT microservices for sub-second response times.
Senior Citizen Match Performance Curve
Statistical validation showing stable high matching probability across ages 60 to 90+.
Click to Enlarge Full ViewEnsuring zero-incident workplaces and operational transparency across enterprise manufacturing plants and logistics hubs. Trusted by multinational leaders including British American Tobacco (BAT), DHL Supply Chain, United Group, and Jamuna Bank.
Automated PPE Compliance
Real-time detection of high-visibility vests, hard hats, safety goggles, and protective gloves with immediate floor supervisor notification upon violations.
Restricted Zone Geo-Fencing
Autonomous virtual cordon lines detect unauthorized personnel entry into active heavy machinery zones, high-voltage rooms, and clean areas.
Touchless High-Throughput Attendance
On-the-go facial recognition processes workers walking at normal stride through entry gates at up to 60 faces per minute, cutting shift wait time by 60%.
The sovereign operational mind for enterprise infrastructure. Unifies video streams, IoT sensor telemetry, and legacy ERP databases using dual-phase reasoning and GraphRAG to deliver instant contextual decisions without human fatigue.
AgentIQ Multimodal Architecture
Dual-Phase Reasoning Core, Relational GraphRAG & Sovereign Airgap Engine.
Click to Enlarge DiagramDuring the COVID-19 pandemic, Sigmind engineered STOP COVID—a mass surveillance system capable of identifying individuals and tracking mask compliance in crowded public environments. Selected as an Honorable Mention in the ICT Division's ACT COVID-19 National Call.
Press Coverage: The Business Standard
Report on Sigmind's rapid deployment of quarantine and mask recognition AI.
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