Software Engineering
- Services
Services
Resource AugmentationDesign & BrandingInfrastructureMarketingSoftware EngineeringResource AugmentationDesign & BrandingInfrastructureMarketing - Solutions
Solutions
Digital & MarketingERP & Business OperationsHRMS & WorkforceSales, CRM & CommerceDigital & MarketingERP & Business OperationsHRMS & WorkforceSales, CRM & CommerceERP SolutionsHRMS SolutionsIndustry SolutionsCall Center SolutionsTrending AppsERP SolutionsHRMS SolutionsIndustry SolutionsCall Center SolutionsTrending Apps - Technology
Technology
Cloud & DevOpsData, AI & AnalyticsEnterprise PlatformsMicrosoft TechnologyMobile TechnologiesOpen Source & WebQA & Testing TechnologiesCloud & DevOpsData, AI & AnalyticsEnterprise PlatformsMicrosoft TechnologyMobile TechnologiesOpen Source & WebQA & Testing TechnologiesAI/MLEnterpriseFrontendBackendMobileDatabaseInfra & DevOpsEmerging TechnologiesAI/MLEnterpriseFrontendBackendMobileDatabaseInfra & DevOpsEmerging Technologies - Industry
- Insights
Insights
About UsBlogsCase Study
Silwatech is backed by a team of 1000+ employees, serving clients in over 10+ industries across 9+ locations
AI-Powered Person Re-Identification System for Intelligent Surveillance
The client is a global enterprise security solutions provider that delivers surveillance and monitoring platforms for large facilities, public spaces, and critical infrastructure.
The organization required advanced AI capabilities to improve how individuals are identified and tracked across distributed camera environments.
Business Challenge
The client required an AI-assisted vision system to enhance security operations while reducing manual workload.
Traditional surveillance systems presented several operational limitations:
Difficulty tracking individuals across multiple cameras with no overlapping views
Heavy reliance on manual monitoring, leading to inefficiencies and errors
Time-consuming review of video footage during investigations
Limited ability to scale surveillance operations without increasing manpower
Need for faster, more accurate identification in high-traffic environments
Project Overview
SilwaTech was engaged to design and implement an AI-based Person Re-Identification (Re-ID) system capable of identifying and tracking individuals across different camera feeds.
The solution focused on:
- Accurate visual matching of individuals
- Real-time processing across camera networks
- Integration with existing surveillance infrastructure
- Scalable architecture for enterprise deployments
Case Study Topics
Solution Delivered
Person Re-Identification Engine
SilwaTech developed an AI engine capable of identifying individuals across multiple camera feeds:
- Deep learning models trained to extract unique visual features
- Robust matching of individuals despite changes in lighting, angle, or appearance
- High accuracy across non-overlapping camera views
Real-Time Video Analytics
- Continuous processing of live video streams
- Low-latency inference enabling near real-time identification
- Efficient handling of large video volumes using optimized pipelines
Intelligent Search & Retrieval
- Ability to search for a person of interest using reference images or video frames
- Fast retrieval of matching appearances across recorded footage
- Reduced investigation time during security incidents
Scalable & Integrated Architecture
- Modular design supporting integration with existing CCTV and VMS systems
- GPU-accelerated processing for performance at scale
- Cloud-ready deployment enabling flexible expansion
Technology Stack
- Deep learning–based computer vision models
- Python-based AI and data processing pipelines
- OpenCV for video handling and image processing
- REST APIs for system integration
- GPU acceleration for real-time inference
- Cloud and on-premise deployment support
Engagement Model
AI solution design and development delivered by a cross-functional team covering AI engineering, backend development, system integration, and performance optimization, aligned to iterative enterprise delivery practices.
Security & Compliance Focus
Given the sensitivity of surveillance environments, strong controls were embedded throughout the system.
Key focus areas included:
- Secure handling of video streams and visual data
- Controlled access to identification and search features
- System-level logging and monitoring of AI operations
- Alignment with organizational security and data governance policies
These measures ensured responsible and secure use of AI-based surveillance capabilities.
Value Delivered
- Improved accuracy in identifying and tracking individuals across camera networks
- Reduced dependency on manual video monitoring
- Faster investigations through AI-assisted search and retrieval
- Scalable surveillance operations without proportional manpower increases
- Enhanced situational awareness for security teams
Why SilwaTech
SilwaTech was selected for its expertise in applied computer vision and enterprise AI systems, including:
Strong capability in deep learning–based visual recognition
Experience delivering real-time AI systems for security use cases
Focus on performance optimization and scalability
Secure, modular architecture aligned with enterprise environments
Looking to Enhance Surveillance with Responsible AI Vision Systems?
SilwaTech helps security organizations deploy scalable, AI-driven video analytics
Contact Us
Contact us for any questions, support, or business inquiries.
Office
UAE (HQ)
Al Shoala Bldg, E Block, 4th Floor, Deira City Center, Dubai, UAE
INDIA
401, One World West, Nr. Ambli T-Junction 200,S P Ring Road, Bopal, Ahmedabad, Gujarat 380058, India
France
74 boulevard du, 11 novembre 1918 69100 villeurbanne
South Africa
Cube Work Space. 24 Hans Strijdom Avenue, Cap Town
United Kingdom
Kem House 160 City, Road, London, United Kingdom EC1V2NX