
Fit low-pole sites
Dual-bay coverage helps reduce device density where field work must stay manageable.
Confirm bay geometry and clearance
Check wheel stops and obstructions
Dual-bay coverage, low-pole deployment, and still-image evidence for curbside, outdoor, EV, and reserved parking spaces.
Dual-bay coverage, low-pole deployment, and still-image evidence for curbside, outdoor, EV, and reserved parking spaces.
Mount for single- or dual-bay monitoring, then tune height and angle to the site.
On-device AI evaluates occupancy events without relying on continuous backend video analysis.
Vehicle entry, exit, or defined events can generate event data and still-image evidence.
Send event outputs to IoT View or project backends for review, billing, and exception workflows.
Extend into EV management, reserved bays, member validation, or third-party integrations as needed.
C01-Ameasuresvehicleparkingeventsandtrafficflowsusingon-cameraedgeAItohelpmunicipalitiesoptimizecurbsideturnarounds.
Mount for single- or dual-bay monitoring, then tune height and angle to the site.
On-device AI evaluates occupancy events without relying on continuous backend video analysis.
Vehicle entry, exit, or defined events can generate event data and still-image evidence.
Send event outputs to IoT View or project backends for review, billing, and exception workflows.
Extend into EV management, reserved bays, member validation, or third-party integrations as needed.
Taichung City
Weighted Parking
Taichung
‹›2.79mm
R407
IMEI: 353326440552794
EBW0172
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Visual Event Traceability
C01-A transmits occupancy events and still-image evidence to IoT View or connected backend systems, supporting billing review, exception handling, EV bay management, and reserved-space auditing.
This is where operators review threshold alerts, trace historical records, and turn distributed field readings into a single operational view.
Deployment Intelligence
Use C01-A to decide where low-pole visual detection can support parking events and review workflows.

Dual-bay coverage helps reduce device density where field work must stay manageable.
Confirm bay geometry and clearance
Check wheel stops and obstructions

Still-image evidence gives operators a clearer record than status data alone.
Define retention and access rules
Support dispute and exception review

C01-A can support EV bays, reserved spaces, and backend parking workflows.
Scope member or POS integration
Connect events to IoT View
Select an advantage to see how the product supports practical, repeatable field deployment.
One device can monitor up to two adjacent bays in suitable layouts, reducing device count, installation points, and maintenance touchpoints.
Field Index
Selected references across installed environments.
Configurations & Versions
Model variants organized by field condition and connection profile.
DetectionOccupancy detection, still-image evidence, dual-bay coverage
Best FitGeneral outdoor parking lots, commercial parking, curbside spaces
DetectionFor sites where fixed-line backhaul is difficult but event and image return are still required
Best FitDistributed outdoor sites, temporary expansions, roadside deployments
DetectionCan integrate with on-ground sensors, member workflows, payment, EV management, or backend rules
Best FitUngated parking, reserved-bay control, hybrid parking operations
SPECIFICATIONS
Installation
Low-pole mounting; can be deployed between two adjacent spaces
Coverage
Up to 2 parking spaces per device
Lens
3.1 mm fixed focus, approx. 100° wide-angle view
Image Capability
1920 × 1080, MJPG
Edge Processing
ARM Cortex M4 + NPU
Connectivity
Ethernet / BLE 5.1, LTE-M optional
Power Input
DC 3.6–4.2V external power
Operating Temperature
-20°C to 75°C
Platform Support
IoT View and backend API integration
Security Option
PUF security protection available by model or project configuration
FAQ
Get Started / Project Evaluation
Planning curbside spaces, ungated outdoor parking, EV charging bays, or reserved-space management? Share your site type, space count, power, network conditions, and required workflows. NHR can help assess the right C01-A deployment approach.