RetinX
Proven Results

Enterprise Case Studies

Real-world deployments delivering measurable ROI across manufacturing, security, healthcare, and autonomous systems

Defect Detection on Assembly Lines
Automotive Manufacturing
99.7%
Defect Detection Rate
67%
Cost Reduction
<50ms
Processing Speed
12
Production Lines

Global Auto Parts Ltd.

Defect Detection on Assembly Lines

Deployed YOLO-based defect detection across 12 production lines, reducing quality control costs by 67% and catching 99.7% of surface defects in real-time.

Challenges

  • High-speed production line (200+ parts/hour)
  • Varied lighting conditions
  • Multiple defect types (scratches, dents, misalignments)
  • Integration with existing PLC systems

Solution

Custom YOLOv8 model trained on 50,000+ defect samples, deployed on NVIDIA Jetson Orin with TensorRT optimization. Integrated with factory MES for real-time alerts.

Results

  • Reduced manual inspection staff by 80%
  • Zero-defect shipping achieved in Q3 2024
  • ROI achieved in 8 months
  • Expanded to 3 additional facilities
Real-Time Passenger Flow Analytics
Aviation Security
40%
Wait Time Reduction
55%
Throughput Increase
<16ms
Processing Speed
48
Checkpoints

International Airport Authority

Real-Time Passenger Flow Analytics

Implemented facial landmark tracking and object detection for security checkpoint optimization, reducing wait times by 40% while maintaining compliance.

Challenges

  • High passenger volume (50,000+/day)
  • Privacy compliance requirements
  • Real-time analytics dashboard
  • Integration with existing CCTV infrastructure

Solution

Edge-deployed facial tracking on Jetson Xavier NX with anonymized data processing. Real-time dashboard for operations team with predictive queue management.

Results

  • Passenger satisfaction increased 35%
  • Security incidents reduced by 28%
  • Staff optimization saved £2.3M annually
  • Awarded "Innovation in Aviation" 2024
Medical Imaging Analysis
Healthcare
100%
Compliance Rate
10x
Inspection Speed
<0.1%
False Positive Rate
8
Facilities

National Diagnostic Network

Medical Imaging Analysis

AI-powered defect detection for medical device manufacturing, ensuring 100% compliance with FDA quality standards across 8 production facilities.

Challenges

  • Microscopic defect detection (<0.1mm)
  • Strict regulatory compliance (FDA, CE)
  • Integration with quality management systems
  • Audit trail requirements

Solution

High-resolution YOLO model with custom annotation pipeline, deployed on edge servers with full audit logging. Integrated with SAP QM for automated compliance reporting.

Results

  • FDA audit passed with zero findings
  • Recall incidents eliminated
  • Quality team productivity increased 400%
  • Expanded to European facilities
Multi-Sensor Object Detection
Autonomous Vehicles
99.2%
Detection Accuracy
8
Camera Feeds
60fps
Frame Rate
<50ms
Latency

Future Mobility Corp

Multi-Sensor Object Detection

Real-time object detection and tracking for Level 4 autonomous vehicles, processing 8 camera feeds simultaneously at 60fps with sub-50ms latency.

Challenges

  • Multi-camera synchronization
  • All-weather performance
  • Safety-critical reliability (ASIL-D)
  • Power consumption constraints

Solution

Optimized YOLOv8 model with multi-stream processing on NVIDIA Orin. Custom sensor fusion pipeline with redundancy and failover mechanisms.

Results

  • 10M+ miles driven without incident
  • Passed ISO 26262 certification
  • Reduced compute requirements by 40%
  • Partnership expanded to 3 OEMs

Trusted by Industry Leaders

Partnering with Fortune 500 companies and innovative startups worldwide

150+
Enterprise Clients
12
Industry Awards
£45M+
Client ROI Generated
28
Countries Deployed

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