Road intelligence · 6 configurations
Compare OMNI UXV radar-video traffic flow, speed, access, approaching-vehicle and collision-warning reference systems.
Category brief
Radar-video fusion combines resilient motion measurement with visual context. The result can support flow analytics, speed enforcement, access control and warning systems when camera-only performance is limited by glare, darkness or weather.
A complete deployment includes sensor placement, calibration, network and power design, privacy controls, evidence retention and integration with the local traffic-management platform.
Product line
Road perception
The TRVF-8221 fuses radar tracks with video detections for traffic information and event monitoring. It is designed for continuous roadside operation across multiple lanes and varied weather.
Traffic data collection
The TRVF-8221-SCO combines radar and video to collect flow, speed, occupancy, vehicle class and trajectory data. It supports signal optimization and corridor analysis.
Restricted-lane awareness
The TRVF-8221-AC monitors defined access zones and records intrusions by pedestrians, non-motorized vehicles and motorcycles. Video clips support review and incident handling.
Road hazard warning
The TRVF-8221-SW1 detects and classifies approaching road users, then drives warning logic for locations with limited sight distance or elevated conflict risk.
Speed and evidence
The TRVF-8221-SW2 tracks vehicle speed and direction, captures supporting imagery and can integrate with warning or enforcement workflows subject to local approval.
Bridge and height-bar protection
The TRSW-8233 combines impact sensing, overheight detection, video capture and remote reporting. It is designed to shorten awareness time after a vehicle strikes protective infrastructure.
Technology guide
Radar-video traffic detection systems combine direct motion measurement with visual classification or evidence. The value of fusion depends on road geometry, mounting, lane assignment, event semantics, time synchronization and ongoing maintenance—not on combining two sensors in one enclosure.
A traffic-flow radar or vehicle detection sensor should be evaluated against the operational output: counts, class, speed, queue, access decision, warning or evidence. Each output requires its own reference method and acceptance tolerance.
Last reviewed: July 2026
Radar supports range and speed while video adds classification and a reviewable image of the event.
Selection note: Survey lane geometry, mounting angle, large-vehicle occlusion, glare and expected density before calibration.
A sensing unit can connect a vehicle observation to an access or security workflow.
Selection note: Define identifier, evidence, retention, authorization and integration behavior before deployment.
Local logic can trigger a sign, light or alarm when a defined movement condition is met.
Selection note: Use site-specific zones, latency, fail-safe behavior and a traceable speed or distance reference.
A platform receives sensor events and exposes device health, maps, trends and controlled evidence access.
Selection note: Freeze event schemas, time, duplicate handling, privacy, cybersecurity and outage behavior.
Capture lanes, curves, grades, mounting height, occlusion and detection zones.
Specify alerts, evidence, counts, classifications, APIs and acceptable latency.
Define privacy notice, retention, access control and maintenance responsibility.
| Model | Primary role | Selected specifications | Details |
|---|---|---|---|
| TRVF-8221 | Road perception | Reference detection distance: ≥300 m · Tracked targets: Up to 256 reference targets | Open → |
| TRVF-8221-SCO | Traffic data collection | Reference detection distance: 150 / 300 m configurations · Target capture rate: 99% reference test condition | Open → |
| TRVF-8221-AC | Restricted-lane awareness | Reference detection distance: 150 / 300 m configurations · Tracked targets: Up to 256 reference targets | Open → |
| TRVF-8221-SW1 | Road hazard warning | Reference detection distance: 150 m · Camera: 4 / 8 MP configurations | Open → |
| TRVF-8221-SW2 | Speed and evidence | Reference detection distance: 150 m · Speed range: 0–250 km/h | Open → |
| TRSW-8233 | Bridge and height-bar protection | Acceleration range: 0–16 g · Acceleration accuracy: ≤0.1 g | Open → |
Buyer workflow
Use the same decision sequence for every shortlisted product so that published specifications, project assumptions and delivered evidence remain comparable.
Record lanes, curves, grades, queues, occlusion, warning zones and required outputs.
Output: Road geometry and event specification
Define fields, timestamps, identifiers, images, retries, duplicates, APIs and health.
Output: Interface and governance baseline
Align detection zones and lane mapping using representative vehicles and a traceable reference.
Output: Calibration and configuration record
Sample performance across vehicle mix, density, light, weather, outage and recovery.
Output: Lane- and event-level acceptance report
Acceptance evidence
| Acceptance area | Requirement | Evidence |
|---|---|---|
| Lane assignment | Representative vehicles are associated with the correct lane and movement. | Matched reference sample |
| Measurement | Count, class or speed meets the agreed use-specific tolerance. | Traceable comparison dataset |
| Event delivery | Platform events contain correct identifiers, timestamps and evidence without duplicates. | End-to-end event replay |
| Service health | Operators recognize alignment, network, storage or device degradation. | Fault injection and recovery record |
Topic cluster
Operational Guide
Maintain traffic sensors with a controlled baseline, scheduled checks, truth samples, zone and clock verification, fault isolation, and retesting.
Engineering Guide
Validate vehicle classification with a declared schema, synchronized truth, stratified sampling, confusion matrices, unknown labels, lane slices, and repeatable QA.
Engineering Guide
Design vehicle detection zones from the traffic action, then specify coordinates, lanes, dwell, latency, occlusion, event semantics, fail states, and commissioning.
Before requesting a quotation
Radar provides robust range and speed measurement, while video adds classification and visual evidence. Fusion can improve continuity and reduce ambiguity compared with either sensor alone.
Integration is evaluated against protocol, event schema, time synchronization, video transport, cybersecurity and API requirements.
Commissioning should verify detection zones, lane mapping, speed reference, classification, event timing and performance across representative traffic and weather conditions.
Share the site, mission, payload, performance target and destination country. Our team will return a traceable configuration rather than a generic product list.
Start a technical inquiry