AI Video Incident Detection System for Highways & Tunnels (AID/VID)

Overview

The REDCOAST.LTD RC-AID-700 is a grid-powered AI Video Incident Detection (AID/VID) system that automatically identifies dangerous events on highways, in road tunnels and across urban corridors within seconds. Purpose-built for road authorities, tunnel operators, expressway concessionaires and traffic management centers, it turns ordinary CCTV coverage into an intelligent early-warning layer that spots a stopped vehicle, a wrong-way driver, a pedestrian on the carriageway, dropped debris, smoke or a forming traffic jam long before an operator would notice. By cutting the time-to-detect from minutes to seconds, the system dramatically reduces secondary crashes, speeds up emergency response and helps operators meet mandatory tunnel-safety obligations. Because tunnels, highways and city roads already have mains power and structured cabling, the RC-AID-700 is engineered as a grid-powered, fiber-connected fixed installation — not a solar node.

Key Features

• Multi-incident AI detection — stopped/slow vehicle, wrong-way driving, pedestrian on carriageway, dropped object/debris, smoke and fire, traffic congestion, illegal stop in emergency lane or lay-by, over-speed and lane blockage, all extracted from the same camera stream.
• Long detection range — up to 300 m per camera using a hybrid of deep-learning object detection and pixel-motion analytics, well beyond what deep learning alone can reach.
• Second-level response — typical time-to-detect of 2–6 seconds and alarm within 10 seconds of the event.
• High accuracy, low false alarms — ≥95% stopped-vehicle detection on open roads and ≥98% inside tunnels, with a false-alarm rate below 0.1 per camera per day after site tuning.
• Edge-first processing — detection runs on the camera NPU or a roadside edge controller, so alarms are generated locally and keep working even if the backhaul link drops.
• Closed-loop actuation — verified alarms automatically trigger variable message signs, lane-control signals, tunnel ventilation and lighting, barriers and public-address, not just a screen alert.
• Open integration — ONVIF, RTSP, NTCIP and REST/MQTT let it plug into existing traffic management centers, SCADA and third-party VMS.
• Forensic evidence — every alarm auto-records a time-stamped pre/post video clip for incident review and accountability.
• Self-developed hardware — REDCOAST.LTD designs the edge-AI inference board, the multi-channel PoE++ camera interface board, the roadside I/O relay board and the UPS power-management board in-house, so channel counts, I/O and detection logic adapt to each corridor.

Technical Architecture

The RC-AID-700 is a three-tier system. At the field layer, edge-AI detection cameras (fixed bullet, PTZ or thermal dual-spectrum) are mounted on tunnel ceilings and side walls, roadside gantries, cantilever arms or existing CCTV poles at 30–150 m spacing to give continuous carriageway coverage. At the roadside layer, an edge AI controller housed in the ITS cabinet aggregates 4–16 camera streams, runs the detection models on a dedicated NPU, correlates and de-duplicates events across overlapping fields of view, and drives local outputs. At the management layer, the central incident-management software at the traffic management center provides a live video wall, alarm workflow, operator verification, automatic device response and full reporting.

The data flow is edge-first: each camera performs on-device inference and raises an event with a confidence score and a bounded video clip; the roadside controller fuses these events, suppresses duplicates and false positives, then pushes structured alarms upstream over NTCIP or REST while simultaneously firing opto-isolated dry contacts and relays that actuate warning devices in real time. This architecture means detection continues even during a network outage, and only meaningful events — not raw video — need to travel to the center.

All the critical boards are developed by REDCOAST.LTD: an NPU carrier / edge-AI inference board, a managed multi-channel 802.3bt PoE++ camera interface board, a roadside I/O board with opto-isolated inputs and relay outputs for VMS, lane signals, ventilation and barriers, and a UPS power-management board combining AC-DC conversion, LiFePO4 ride-through and health monitoring. The detection software is tuned per site — lane geometry, region-of-interest, perspective calibration and per-scene thresholds — to hold accuracy high while keeping false alarms low.

Connectivity & Power

The backbone is single-mode fiber (SFP 1G/10G), the standard for highway and tunnel corridors, with Gigabit Ethernet distribution and optional 4G/5G for remote or standalone sites. Cameras speak ONVIF (Profiles S/G/M/T) and RTSP; system integration uses NTCIP 1205 for CCTV and NTCIP 1203 for dynamic message signs, plus MQTT and REST APIs for cloud and TMC connectivity, and Modbus / dry-contact for legacy tunnel PLC and SCADA. Power is grid AC 100–240 V feeding the roadside or tunnel cabinet, with 802.3bt PoE++ delivering up to 90 W per port to cameras (enough for integrated IR and heaters), and an on-board LiFePO4 UPS providing 30–120 minutes of detection ride-through during a mains outage. There is deliberately no solar option: this product lives where grid power and cabling are already present, so its power design is optimized for continuous mains operation rather than off-grid autonomy.

Protection & Reliability

Cameras are rated IP66/IP67 with IK10 vandal resistance, 140 dB wide dynamic range and starlight low-light sensitivity plus IR for tunnel and night conditions. The roadside controller sits in an IP55 ventilated or IP66 sealed cabinet with a smooth matte powder-coated finish for corrosion protection. All boards are conformal-coated and hardened against salt fog, dust and vibration, with 6–10 kV surge protection on power, PoE and signal lines. A hardware watchdog and dual-image firmware guard against lock-ups, and the wide −40 to +70 °C operating range suits tunnels, hot desert corridors and cold-climate highways alike. Warranty options run 3–5 years, with a design and component-selection philosophy aimed at long, low-maintenance service life.

Application Scenarios

• Long road tunnels — satisfies control-center AID mandates; smoke/fire and stopped-vehicle alarms are linked to ventilation and evacuation lighting for immediate life-safety response.
• Urban underpasses and short tunnels — catches pedestrians, wrong-way entries and congestion in confined, high-risk sections where a stalled vehicle can quickly become a pile-up.
• Highway mainline and bridges — detects stopped vehicles, debris and forming queues to prevent deadly secondary collisions, especially on curves and known blackspots.
• Interchanges and on/off ramps — flags wrong-way entry and illegal stopping at the exact points where these events most often occur.
• Toll plazas and gantries — spots stopped vehicles and pedestrians in the approach zone and detects congestion build-up before it spreads.
• Urban arterials and intersections — identifies pedestrians in the lane, illegal stops and incidents that block through traffic.

Case-style Examples

• Long-tunnel safety upgrade — an operator needing to satisfy a control-center AID obligation retrofits detection cameras every 100 m along the bore and ties them into the existing ventilation and lighting; stopped-vehicle and smoke alarms now trigger fans and evacuation cues automatically, cutting operator reaction time to seconds.
• Mountain expressway secondary-crash reduction — on a corridor plagued by rear-end collisions on blind curves, stopped-vehicle and queue detection on the approaches feeds upstream variable message signs to slow traffic before drivers reach the hazard.
• Urban corridor pilot — a city integrates underpass and intersection incident detection into its existing TMC video wall over NTCIP, gaining automatic alerts without replacing its cameras or central platform.

Customization & Selection Guide

Start from the deployment package — Tunnel, Open Highway or Urban Intersection — which presets the detection model set. Choose camera type by need: fixed edge-AI bullets are the most cost-effective for defined lanes; PTZ cameras add operator verification and tracking; thermal dual-spectrum cameras give the earliest smoke/fire detection and the best night performance. Pick the processing architecture — distributed edge-AI cameras minimize cabinets, a roadside aggregation controller suits dense coverage, and a hybrid balances both. Decide integration depth: standalone with a local video wall, NTCIP into an existing TMC, or full REST API into third-party VMS/SCADA. For life-safety tunnels, specify longer UPS runtime and a dual-fiber ring for redundancy.

Deployment & After-sales

Cameras mount on tunnel walls and ceilings, overhead gantries, cantilever poles or existing CCTV infrastructure, with pole adapters for Ø60–140 mm. Each camera is calibrated and ROI-tuned during commissioning; controllers ship factory pre-configured to shorten on-site work. REDCOAST.LTD provides commissioning support, remote diagnostics, firmware updates, spare-parts programs and SLA-based technical support, with delivery scheduled per project scope and site count.

Standards & Compliance

The system is engineered to align with EU Directive 2004/54/EC on minimum tunnel safety requirements and PIARC incident-detection guidance, and to integrate via NTCIP 1201/1203/1205 and ONVIF. Hardware targets EN 62676 video-surveillance, EN 50293 / IEC 61000 EMC, IEC 60068 environmental testing, CE / RoHS / UKCA, IP66/IP67 and IK10, and supports road-safety management frameworks such as ISO 39001. Specific certifications are confirmed per project and region.

Why REDCOAST.LTD

REDCOAST.LTD delivers the complete solution — detection hardware, management platform and mobile app — as one integrated, project-tailored system from a single team. Because we design our own PCBs (edge-AI board, PoE camera interface, roadside I/O and power management), we can adapt channel counts, I/O, detection logic and integration to your corridor instead of forcing your project into a fixed box. That control is what lets us tune accuracy, meet local standards and keep the whole system maintainable for its full service life.

Talk to REDCOAST.LTD about a custom AI video incident detection deployment for your tunnels, highways or urban corridors — we will size cameras, edge processing and TMC integration to your exact site and standards.