Avoid new high poles
Ground-mounted deployment helps projects respect streetscape, safety, and site constraints.
Check pedestrian flow and clearance
Confirm power and network coverage
C02 GROUND-MOUNTED AIoT EDGE ANALYTICS CAMERA
GROUND-MOUNTEDAIoT EDGE ANALYTICS CAMERA
Bay-Level Parking Intelligence, Evidence Capture, and Streetscape-Friendly Deployment Turn each parking bay into a detectable, evidence-ready, and system-integrated operating point.
GROUND-MOUNTEDAIoT EDGE ANALYTICS CAMERA
Bay-Level Parking Intelligence, Evidence Capture, and Streetscape-Friendly Deployment Turn each parking bay into a detectable, evidence-ready, and system-integrated operating point.
Parking operators need verified events, not only occupied or vacant status.
01 / Sensing Node
01
Installation
C02 is installed at ground level beside the parking space. Position and angle are adjusted based on bay coverage, pedestrian clearance, power supply, and site conditions.
02 / Connectivity & Platform
02
Edge AI Detection
On-device AI evaluates vehicle occupancy events, reducing reliance on continuous backend video analysis.
03
Event Evidence Capture
When vehicle entry, exit, or occupancy events are detected, the system can generate still-image evidence and event data according to project configuration.
03 / Integration & Action
04
Backend Integration
Event data can be sent to IoT View or the project backend for parking management, exception review, image verification, member workflows, or billing logic.
05
Extended Integration
C02 can interconnect with on-ground parking sensors to support trigger-based or layered parking detection architecture.
ground-mounted curbside parking monitoring
C02measuresvehicleoccupancyinhigh-densitycurbsidezonesusingdual-sensorgroundcamerastohelpoperatorsmanageroadsideturnovers.
1
Installation
C02 is installed at ground level beside the parking space. Position and angle are adjusted based on bay coverage, pedestrian clearance, power supply, and site conditions.
2
Edge AI Detection
On-device AI evaluates vehicle occupancy events, reducing reliance on continuous backend video analysis.
3
Event Evidence Capture
When vehicle entry, exit, or occupancy events are detected, the system can generate still-image evidence and event data according to project configuration.
4
Backend Integration
Event data can be sent to IoT View or the project backend for parking management, exception review, image verification, member workflows, or billing logic.
5
Extended Integration
C02 can interconnect with on-ground parking sensors to support trigger-based or layered parking detection architecture.
07:56
LTE41%
LiveLogout
Overview / B1
Parking Dashboard
Available
7/12
MapNodesLiveAudit
LPR Event Intelligence
Deliver license plate recognition data into operational enforcement workflows
C02 sends LPR event records, dwell-time data, and vehicle identification results to IoT View or compatible platforms — enabling enforceable violation handling, permit validation, and cross-system integration.
This is where operators review threshold alerts, trace historical records, and turn distributed field readings into a single operational view.
INSIGHTS
Deployment Intelligence
Decide at ground level
Plan where ground-mounted visual detection fits better than poles or non-visual sensors.
Record parking events
C02 adds visual event evidence when occupied or vacant status is not enough.
Capture entry and exit events
Plan image retention rules
Choose visual sensing
Use C02 when parking events need reviewable evidence without a full CCTV workflow.
Pair with P01 or P08 if needed
Send events to backend systems
KEY ADVANTAGES
Key Advantages
Select an advantage to see how the product supports practical, repeatable field deployment.
C02 avoids new high poles in curbside, commercial, and public-facing sites where poles affect pedestrian flow, streetscape, aesthetics, or acceptance. Its ground-mounted form fits sidewalk edges, curb bays, islands, landscaped areas, and premium outdoor environments.
VERSIONS
Configurations & Versions
Model variants organized by field condition and connection profile.
V01Ethernet / BLE
C02 Standard
DetectionOccupancy detection, still-image reporting, ground-mounted deployment
Best FitGeneral outdoor parking lots, commercial parking areas, curbside spaces
V02Ethernet / BLE / LTE-M optional
C02 with LTE-M Option
DetectionSupports wireless event and still-image backhaul where fixed-line infrastructure is difficult
Best FitRoadside parking, outdoor satellite sites, temporary or flexible deployments
V03Based on project scope
C02 Project Integration Setup
DetectionCan interconnect with on-ground sensors, IoT View, or backend systems
Best FitHybrid parking workflows, reserved-space control, project-based operating logic
SPECIFICATIONS
SPECIFICATIONS
Installation
Ground-Mounted
Primary Use
Outdoor vehicle occupancy detection for sidewalks and curbs
Detection Method
AI edge computing for vehicle occupancy detection
Imaging
1920 × 1080, MJPG, 3.1 mm fixed-focus lens
Connectivity
Ethernet / LTE-M Cat-M1 / BLE 5.1
Processing
ARM Cortex M4 CPU + NPU 0.5eTOPS@int8 / 1eTOPS@int4
Power Input
DC 3.6–4.2V external power
Dimensions
175 × 175 × 1050 mm
Operating Temperature
-20°C to 75°C
Platform Support
IoT View
Security Option
PUF available by project configuration
Certification Status
CE pending
FAQ
FAQ
Get Started / Project Evaluation
Ready to evaluate C02?
If your project needs bay-level parking intelligence without adding high poles --while keeping deployment aligned with streetscape, maintenance, and backend management requirements --C02 is a strong direction to evaluate. Share your site type, curbside or sidewalk conditions, power and network setup, and whether you need to connect billing, member workflows, reserved-space rules, exception handling, or multi-site management. NHR can help assess the most suitable C02 deployment approach, integration plan, and rollout sequence.