Configuration directions for four fleet types
Each scenario defines the procurement questions, candidate configuration and project-confirmation boundaries. Device fit, camera layouts and AI activation are confirmed per project and sample.
Taxi & Ride-hailing
Meet regulations, support platform dispatch, deter fatigue driving, auto-upload incident video, and reduce insurance disputes.
4G Fleet Dashcam + front/rear (or 3-channel) recording + cloud platform; ADAS/DMS preferred.
Deployed with leading China ride-hailing platform fleets and a Korean local taxi operator.
Front road camera (required) + cabin camera (destination-market dependent). Side cameras optional. Typical: 1–2 channels.
In-cabin recording, access rules and alerts follow destination-market privacy and sample acceptance.
- Fleet manager needs road + cabin video as trip evidence for dispute resolution.
- Regulator requires on-board recording with defined retention and access controls.
- Operator wants optional ADAS/DMS alerts without locking into a specific algorithm set.
- Confirm destination-market recording and privacy rules.
- Select camera count and channels (1-channel dashcam vs 2+ channel unit).
- Test sample on actual vehicle: field of view, night quality, GPS accuracy.
- Confirm cloud platform: provider, region, data retention, SLA.
Truck & Logistics
Incident evidence and insurance disputes, capacity dispatch, driver-behavior supervision, fuel monitoring and cost optimization, maintenance prediction.
4G Dashcam / Multi-channel MDVR + 2–8 cameras + cloud platform; ADAS/DMS/BSD preferred.
Deployed with logistics fleets in Israel, Vietnam and Malaysia.
Front + rear mandatory. Side and cargo-bay cameras by route and cargo type. Typical: 4–8 channels. Storage: 256G–2TB SSD/HDD.
Map camera views first, then confirm MDVR channels, local storage and upload behavior.
- Operator needs multi-camera evidence for cargo inspection and incident reconstruction.
- Fleet manager wants rear and side blind-spot coverage without replacing cab hardware.
- Long-haul routes require local storage with selective upload to manage data costs.
- Map all camera positions before selecting an MDVR channel count.
- Confirm local storage size against retention policy and route length.
- Define upload triggers: event-based, scheduled, or on-dock only.
- Test sample on the heaviest-duty vehicle first (worst vibration, temperature).
Police & Municipal
Traffic-violation evidence capture and long-range license-plate recognition.
4G recorder + GPS + cloud platform.
Deployed with a China Mobile violation-recording project and an Israeli police fleet.
Front enforcement camera for plate capture (required) + optional cabin/rear. Typical: 1–3 channels, paired with GPS and cloud platform.
Recognition accuracy, capture rules and data handling confirmed per project and market.
- Traffic enforcement needs video evidence of violations (red-light, illegal parking, lane crossing).
- Operation requires long-range license-plate recognition and burst photo capture.
- Patrol and special vehicles need GPS tracking and cloud-based dispatch.
- Confirm required plate-recognition distance and capture rules for the enforcement scenario.
- Confirm GPS tracking and cloud integration (client's own platform or private deployment).
- Validate plate-recognition accuracy and day/night imaging on a sample vehicle.
- Confirm data retention, export and destination-market compliance.
Construction & Mining
Prevent fatigue driving and prevent collision incidents.
4G AI & Active Safety, 2–4 cameras, ADAS + DMS + BSD, 4G cloud platform.
Deployed with an Indonesian mining fleet and a Malaysian construction-vehicle fleet.
Front + rear + at minimum both sides, plus a dedicated blind-spot camera per operating arm or dumping zone. Typical: 6–8 channels. Rugged IP67 cameras, shock-resistant connectors.
Environmental ratings, warning events, false-alert review and operator response defined before testing.
- Safety officer needs camera evidence at close-quarter work zones where pedestrians and heavy equipment share space.
- Insurance or regulatory audit requires operator-facing recording of blind-spot events.
- Harsh environments (dust, shock, extreme temperature) demand industrial-grade hardware spec confirmation.
- Define warning events and pedestrian-alert zones before testing any AI model.
- Confirm environmental ratings: vibration, temperature range, dust and IP class.
- Pilot on one machine for 30+ days before committing to hardware specs.
- Define false-alert review process and operator response protocol.
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