Rays Technology

RF Devices · Ground Penetrating Radar · Computer Vision Systems · Software Engineering

Case Studies

Real-world applications demonstrating our technical expertise and successful project delivery across multiple domains.

BRIDGE GPR

Image: Bridge Inspection Project

Infrastructure Inspection

Highway Bridge Deck Assessment

Comprehensive GPR-based condition assessment of a 50-year-old highway bridge deck to identify structural degradation and plan targeted rehabilitation.

Challenge

Client needed non-destructive evaluation of bridge deck integrity without traffic disruption. Traditional coring methods would be time-consuming and potentially weaken the structure.

Solution

  • Deployed 900MHz GPR system for high-resolution scanning
  • Covered 15,000 m² in 3 days during off-peak hours
  • Advanced signal processing for rebar detection and delamination mapping
  • 3D visualization of subsurface anomalies

Results

  • Identified 12% of deck area with subsurface delamination
  • Detected corrosion-induced concrete damage in critical zones
  • Saved client €150,000 compared to traditional methods
  • Enabled data-driven repair prioritization
Radar System Development

UWB Radar for Autonomous Vehicles

Custom ultra-wideband radar development for ground surface classification in autonomous agricultural vehicles operating in challenging terrain conditions.

Challenge

Research team needed real-time underground feature detection to prevent autonomous tractors from getting stuck in soft soil or hitting buried obstacles.

Solution

  • Designed custom 2-6 GHz UWB radar system
  • Integrated with existing navigation sensors (GPS, IMU, LiDAR)
  • Developed real-time soil classification algorithms
  • Created ROS-compatible software interface

Results

  • Achieved 85% accuracy in soil type classification
  • Detection range: 0.5m - 2.5m depth
  • Processing latency < 100ms for real-time operation
  • System now deployed in 5 research vehicles
UWB RADAR

Image: UWB Radar System

VISION AI

Image: Vision QC System

Computer Vision

Automated PCB Defect Inspection

AI-powered visual inspection system for printed circuit board manufacturing quality control, replacing manual inspection process.

Challenge

Electronics manufacturer needed to inspect 1200 PCBs/hour for 15 different defect types with >99% accuracy while reducing labor costs.

Solution

  • Multi-camera system with specialized lighting
  • Deep learning model trained on 50,000+ labeled images
  • Edge AI deployment on NVIDIA Jetson platform
  • Real-time defect classification and reporting dashboard

Results

  • Achieved 99.3% defect detection accuracy
  • Reduced false positive rate by 75% vs. manual inspection
  • Inspection time: 2.8 seconds per PCB
  • ROI achieved in 8 months through labor savings
GPR-Based NDT

Historic City Center Utility Survey

Comprehensive underground utility mapping for urban renewal project in historic European city center without excavation.

Challenge

City planners needed accurate 3D maps of underground utilities (water, gas, electricity, telecom) dating back 150+ years before major infrastructure upgrade, but excavation was prohibited due to historic preservation requirements.

Solution

  • Multi-frequency GPR approach (400MHz + 900MHz)
  • High-density grid scanning with RTK-GPS positioning
  • Advanced signal processing for pipe/cable discrimination
  • 3D utility network reconstruction and CAD integration

Results

  • Mapped 25 km of underground utilities across 12 city blocks
  • Discovered 18 previously undocumented utility lines
  • Positioning accuracy: ±10 cm horizontal, ±15 cm depth
  • Prevented 3 potential utility strikes during construction phase
UTILITY MAPPING

Image: Utility Mapping Project

AGV SYSTEM

Image: AGV Navigation System

Autonomous Systems

Multi-Sensor AGV Navigation System

Development of vision and GPR-based navigation system for autonomous guided vehicles in dynamic warehouse environments.

Challenge

Logistics company needed AGVs capable of navigating warehouse with frequent layout changes, temporary obstacles, and floor-embedded magnetic tape markers that degrade over time.

Solution

  • Sensor fusion: stereo vision + GPR + LiDAR + IMU
  • GPR-based magnetic tape detection (even when worn/damaged)
  • Visual SLAM for dynamic obstacle avoidance
  • Adaptive path planning with real-time re-routing

Results

  • Navigation accuracy: ±2 cm along planned route
  • Zero collisions in 6-month trial period
  • Maintained operation despite 60% tape marker degradation
  • Fleet of 12 AGVs now deployed, handling 800 pallets/day

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