We partnered with a US-based startup to engineer the backend video infrastructure for an innovative marijuana detection device. The goal was to automate roadside sobriety test workflows by replicating and enhancing traditional Drug Recognition Expert (DRE) methods using VR technology and real-time AI drug testing. Our solution supported secure video processing, audio/subtitle overlays, and seamless cloud integration to improve accuracy, traceability, and scalability. This advanced eye tracking sobriety test system is now actively used in law enforcement and workplace safety protocols to assess cannabis-induced impairment.
Manual DRE eye tests lacked objectivity, standardization, and reliable video documentation, creating inconsistencies in impairment assessments during roadside sobriety test procedures.
No solution existed to reliably capture, process, and store high-volume eye movement recordings, a requirement for scalable automated sobriety test deployment.
Raw recordings lacked guided voice prompts and synchronized subtitle overlays, critical for regulatory reviews, training consistency, and future rehabilitation app development.
High-sensitivity video data needed encryption, structured metadata tagging, and privacy controls, which were absent in existing video workflows.
No reliable way existed to connect recordings to session metadata like user ID, test type, and timestamps, hindering compliance and usability.
We developed a complete backend workflow to automate video ingestion, processing, audio/subtitle integration, and re-uploading with end-to-end session traceability.
Integrated Firebase SDKs to automate video retrieval and uploads based on structured session metadata while ensuring encrypted access and bucket-level control.
Videos were renamed and routed into pre-defined Firebase folders, ensuring logical storage paths based on test type, user, and timestamp.
Each recording was linked to key metadata like officer ID, result, and test type, supporting downstream analytics and regulatory documentation.
Locally processed videos were enhanced with audio prompts and subtitle overlays by aligning SRT files to specific eye movement cues used in impairment detection.
Processing pipelines supported bulk video handling, download retries, file integrity validation, and optional compression or watermarking for public-facing use.
The system captures real-time eye movement via VR headsets and supports AI-based evaluation of THC-related visual markers during roadside testing.
Session-specific videos are pulled automatically, streamlining the processing workflow and reducing the need for manual intervention.
FFMPEG-powered logic injects synchronized audio and subtitle cues, offering a consistent test structure and improved replayability for legal or training use.
Processed videos are automatically re-uploaded with traceable paths, flag-based visibility (private/public), and expiration logic.
Every session is audit-ready, with encrypted processing, structured logs, and metadata for full visibility into who was tested, when, and how.
FFMPEG
Python
3rd-Party SDK
encrypted data storage
SRT
We modernized subjective roadside testing with objective, VR-based eye tracking sobriety test workflows supported by structured video evidence.
Audio and subtitle overlay automation reduced session processing time by 70%, enabling quicker decision-making at the point of contact.
With a scalable video infrastructure, our client deployed an AI drug testing solution capable of handling large volumes of sessions across jurisdictions.
The system now supports additional developments such as rehabilitation app development and pupil dilation analytics using previously recorded sessions.
With secure handling, metadata tagging, and visibility flags, the platform meets the privacy and audit needs of both public and private sector stakeholders.
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Automotive lending software automating dealer loan workflows with real-time integrations, fee validation, and instant approvals for faster financing.
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IoT-based energy monitoring system using smart power quality analytics for real-time tracking, cost savings, and sustainability in facilities.
Smart IoT lighting and HVAC control system with QR code access control and real-time energy management for efficient building operations.
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End-to-end truck repair management software with automation, digital vehicle inspections, and multi-branch scalability for auto repair businesses.
Built a real-time payment analytics platform for the Govt aided platforms with workflow automation solutions and multilingual workflow automation capabilities.
Cloud-based tanning salon software with POS, booking, automation, and analytics to streamline operations and boost customer retention.
ASAM-based addiction management software for treatment centers. Streamline substance abuse treatment with structured care plans and integrated billing.
Azure-hosted court case management software enabling secure workflows, real-time data sync, and streamlined inter-agency coordination.
A secure, mobile-first offender case management platform with GPS tracking, secure messaging, and automation to boost compliance and transparency.
Automotive lending software automating dealer loan workflows with real-time integrations, fee validation, and instant approvals for faster financing.
AI-driven legal document automation software with clause libraries, logic management, and CLM integration—boosting accuracy, compliance, and speed.
We developed a construction safety management platform with real-time risk tracking, gamification, and offline access for high-risk industries.
Discover a cloud-based POS and retail ERP system unifying HR, inventory, ticketing, and training—built for multi-store retail business efficiency.
SaaS-based event ticketing software development with secure seat selection, Stripe payments, and real-time check-ins for modern online event management.
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Automated rental management system with online rental booking software to boost efficiency, bookings, and customer experience for rental businesses.
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Empower your team with next-gen tools that streamline, secure, and scale cannabis impairment detection for real-world impact.
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