Legacy Vision Systems to AI-Powered Operations

VIaaS helps manufacturers turn siloed camera networks into unified visual sensors without replacing existing infrastructure, delivering on the promise of a ‘one camera, dual value’ solution. The platform combines edge AI, MLOps, DevSecOps, digital twins, and managed services to enable real-time inspection, quality monitoring, safety enforcement, and predictive maintenance.More

VIaaS helps manufacturers turn siloed camera networks into unified visual sensors without replacing existing infrastructure, delivering on the promise of a ‘one camera, dual value’ solution. The platform combines edge AI, MLOps, DevSecOps, digital twins, and managed services to enable real-time inspection, quality monitoring, safety enforcement, and predictive maintenance. Its CapEx-light, OpEx-driven subscription model allows organizations to scale from dozens to thousands of cameras while continuously improving AI performance and business outcomes.

  • 100% Air-Gapped Local Server Security
  • 70% Reduction in Manual Data Overheads
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Solution Highlights

Brownfield Camera Reuse

Leverages existing camera infrastructure and RTSP video feeds without expensive hardware upgrades while accelerating AI adoption across factories

Hybrid Edge AI Architecture

Processes video streams locally through Qualcomm Edge AI boxes, minimizing network bandwidth and improving response times.

Enterprise Vision Platform

Combines Qualcomm Insight Platform (QIP), AI orchestration, analytics dashboards, and centralized management capabilities.

Digital Twin Integration

Integrates NVIDIA Omniverse and Azure Digital Twins to create virtual factory replicas for visualization, simulation, and operational intelligence.

Continuous MLOps

Automates model monitoring, retraining, deployment, and optimization to maintain accuracy and eliminate data drift.

Managed Services Delivery

Provides end-to-end deployment, monitoring, maintenance, and 24x7 operational support through Tech Mahindra's managed services framework.

Outcome-Based Commercial Model

Aligns costs with business value through subscription-based pricing and performance-linked incentives in a CapEx-light, OpEx-driven model.

Key Use Cases

Quality Inspection

Automates defect detection, false reject reduction, and visual quality assurance across production environments using AI-powered vision analytics.

Worker Safety

Monitors PPE compliance, hazardous areas, and safety violations in real-time to improve workplace safety and compliance.

Predictive Maintenance

Analyzes visual patterns and equipment behavior to identify anomalies, reduce downtime, and improve asset reliability.

Production Monitoring

Provides real-time operational visibility, bottleneck detection, and production tracking through intelligent video analytics.

Logistics Visibility

Tracks movement of materials, inventory, and assets to improve throughput and operational efficiency.

Digital Factory Twin

Creates virtual factory representations for simulation, operational planning, and executive decision support.

Why VIaaS?

Future-Proof Retrofit

Transforms existing camera ecosystems without requiring wholesale replacement of infrastructure.

Edge AI Native

Processes data locally for faster decisions, reduced bandwidth consumption, and greater operational resilience.

Integrated Digital Twins

Combines visual intelligence with NVIDIA Omniverse and Azure-based digital twin capabilities.

Continuous AI Evolution

Ensures that several models continuously adapt to changing factory conditions through managed MLOps.

Flexible Commercials

Supports subscription and value-linked pricing models aligned to customer outcomes.

Enterprise Scalability

Enables phased expansion from pilot deployments to enterprise-wide vision intelligence programs.

Solution Benefits

  • Adapts to brownfield and greenfield deployments
  • Unifies siloed legacy vision systems
  • Cuts costs through CapEx-light reuse and ROI-based pricing
  • Enables real-time defect and safety monitoring
  • Improves efficiency through AI-driven optimization
  • Scales to 1,000+ cameras enterprise-wide

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