Darpan:
AI Facial Recognition & Missing Person Retrieval Engine
Darpan is a deep learning computer vision system developed to match missing persons and unidentified individuals in real-time across millions of state photo records with high biometric accuracy.
0+
Reunited Families
Verified identity matches
0%
Turnaround Speedup
Compared to manual record checks
0%
Match Confidence
Deep biometric feature vectors
<0s
Search Latency
Across 10M+ facial embeddings
Executive
Summary
Locating missing children and unidentified individuals across vast geographical regions traditionally involved manual flyer distribution, disjointed police logbooks, and weeks of administrative delay.
Travash built Darpan, an AI-powered biometric facial recognition platform that extracts high-dimensional facial embeddings from field photos and cross-matches them against historical police databases in seconds.
The Challenge
High noise, poor photo quality, and aging variations across historical photo records.
Field officers frequently capture photos under poor lighting, steep angles, or with low-resolution smartphone cameras. Matching these against archival photos required deep learning models resilient to age progression and illumination shifts.
KEY CHALLENGES:
The Complexity
Darpan was designed to operate within a mission-critical operational workflow requiring high reliability, strict data security, and seamless user adoption.
High-Concurrency Workflows
Handling mission-critical requests with sub-second response times and zero data loss.
Strict Security & Data Governance
Enforcing granular role-based access control and end-to-end data encryption in transit and at rest.
Decoupled Microservice Integrations
Seamless interoperability across legacy APIs, cloud databases, and modern client applications.
Travash Approach
Automate Core Workflows. Engineer for Concurrency. Ensure Frictionless UX.
Discovery & Workflow Architecture
Analyzed core system bottlenecks, user personas, and transaction paths to establish engineering benchmarks.
Agile MVP Development & API Engineering
Developed scalable microservices and intuitive responsive interfaces with continuous deployment.
Performance Optimization & Automated QA
Conducted rigorous automated end-to-end regression testing, stress profiling, and security audits.
Production Deployment & SLA Observability
Rolled out zero-downtime releases backed by 24/7 telemetry, automated alerting, and ongoing enhancement.
The Solution
A secure mobile app integrated with cloud vector databases and deep neural embeddings.
A secure mobile app integrated with cloud vector databases and deep neural embeddings.
Mobile-First Officer Interface
Empowers field officers to snap photos and instantly trigger biometric search queries.
Deep Facial Embedding Engine
Convolutional neural networks trained to identify invariant facial landmarks despite aging.
Vector Similarity Indexing
High-speed approximate nearest neighbor (ANN) search across millions of profiles in milliseconds.
Solution Architecture
A secure, decoupled multi-tier architecture connecting responsive client frontends with resilient cloud microservices and automated data pipelines.
Darpan End-to-End System Architecture
EnterpriseTechnology Stack
To deliver a robust custom software solution capable of processing millions of records securely, we utilised a highly resilient tech stack:
Mobile & Frontend
AI & Computer Vision
Database & Cloud
The Impact
Turning Complex Operational Workflows Into High-Speed Digital Execution
Through strategic product design and scalable cloud software engineering, Travash enabled State Police Department to achieve immediate operational velocity and sustainable long-term reliability.
Before vs. After
Transformation from legacy friction to modern digital efficiency.
Client Perspective
Insights, expectations, and feedback from the client's point of view.
When dealing with missing children, every second and every data point counts. Travash didn't just build an app; they engineered a massive, highly secure database powered by advanced AI and facial recognition. The way their system analyzes complex biometric patterns against thousands of records in real-time is extraordinary. Because of their robust data architecture, we have successfully identified and reunited over 70 children with their families. Travash’s technology is quite literally changing lives.
By Director of Intelligence Dept (Telangana State Police)
Why This Matters
Does Your Organization Face a Similar Operational Challenge?
THIS CASE STUDY IS RELEVANT FOR ORGANIZATIONS MANAGING:
- •High-volume transactions slowing down customer or citizen service delivery
- •Legacy databases unable to meet modern mobile and cloud scalability expectations
- •Need for secure, compliant automation without disrupting existing daily operations
- •Desire to harness AI and modern web engineering for measurable business ROI
It is to identify what can be automated, what should be flagged, and where human decision-making should remain in control.
The Next Step
Looking to Modernize a High-Volume Verification or Public-Safety Workflow?
The objective is not simply to introduce software. Travash combines custom software development, cloud engineering, AI-assisted automation, and thoughtful UI/UX to transform operational workflows. Connect with our engineering leaders to schedule a scoping session or POC.
Ready to automate and solve operational bottlenecks?
At Travash, we engineer enterprise-grade AI and automation solutions that solve complex business challenges and streamline operations. Visit travash.com to connect with our digital transformation experts.