Virtual Loop Detection Systems Sydney | Vehicle Detection

Key Features

1. Smart Optical Detection with On-Board AI
   • Uses high-grade optics paired with an embedded neural processing platform to perform real-time detection and decision-making directly onboard the device.
   • Sophisticated deep-learning algorithms allow for accurate detection of both moving and stationary targets at the stop-line, while ignoring irrelevant objects outside its trained library.
2. Dual, User-Adjustable Detection Zones (Virtual Loops)
   • Supports two completely independent detection zones that can be customized per lane or per application requirement.
3. Wi-Fi “AGD Touch-Setup” for Fast Configuration
   • An intuitive three-step Wi-Fi setup allows installers to name the device, create detection zones, and save settings—all via a smartphone, tablet, or laptop. Multiple units can be configured simultaneously from up to 50 m away.
4. Robust Physical & Electrical Design
   • Recommended mounting height: 3–6 m for optimal coverage, with guidelines for multi-lane setups (e.g. at least 1.8 m from the stop-line to cover 2 lanes).
   • Power supply range: 24–42 V AC/DC, with a low power draw (around 10–12 W). Uses a secure Buccaneer PX0728/S connector or flying leads for easy integration.
   • Rugged housing: polycarbonate and aluminium construction with IP65–IP66 ingress protection; temperature range –25 °C to +60 °C.
5. Future-Proofed Data Integration & Advanced Applications
   • Holds potential to stream real-time video, IP, and PoE data directly into Intelligent Traffic Systems (ITS) control rooms for smarter urban traffic management.
   • Designed not just for stop-line detection, but also effective in multi-application scenarios like SCOOT optimization, all-red phases, bus-lane prioritization, exit-blocking prevention, and more.
   • Integration of bus detection is already available, and trials are underway to extend functionality to bicycles and HGVs—making the device adaptable to a wide range of road users.

Benefits

• Improved Detection Accuracy & Reduced False Triggers
  AI-driven, deep-learning image recognition enhances reliability—even in complex or occluded multi-lane environments.
• Flexible, Scalable Deployment
  Dual-zone configuration and Wi-Fi setup simplify scaling the system across multiple lanes or traffic intersections.
• Fast, Safe Installation
  Touch-setup via Wi-Fi means installers can configure devices from the ground or vehicle, reducing the need for manual intervention near traffic.
• Durability & Operational Resilience
  Sturdy construction and wide operating temperature range ensure stable performance over time, in various environmental conditions.
• Advanced Traffic Management Integration
  Built to embed into smart city ITS infrastructures—enabling enriched data flow, smarter decision-making, and future expandability (e.g., real-time video, PoE, multi-modal detection).
• Enhanced Safety & Efficiency Across Traffic Scenarios
  Beyond stop-line detection, it supports advanced traffic techniques (SCOOT, bus prioritization, exit blocking), enabling smoother traffic flow and safer intersections.
• Ready for Multi-User, Inclusive Environments
  With trials progressing for bicycle and HGV detection, the AGD650 is positioned to serve diverse road users—promoting smarter, inclusive urban mobility.