SOCIF AIoT Vehicle Tracking and Counting System

Name: SOCIF AI Driving Safety System
Brand: SOCIF
Rating: 4.7 (46 reviews)

The SOCIF Vehicle Tracking and Counting System is designed specifically for monitoring on-site vehicle traffic. It can use existing cameras or additional cameras installed at entrances and exits to perform license plate recognition, vehicle classification, and two-way counting at the edge. The system also tracks vehicle locations both within and outside the premises.

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Core Features Overview

License Plate Tracking, Including Motorcycles, and Vehicle Classification

Recognizes license plates of common Hong Kong vehicles, including cars, vans, and motorcycles.
Links entry, parking, and exit records into one journey record for vehicle locating, overstay detection, and traceability.
Classifies private cars, taxis, vans, buses/minibuses, and motorcycles.
Provides vehicle-type statistics by time period to support parking-space planning, height-restricted lanes, and motorcycle parking.

On-Site Routes and

Traffic Hotspots

Uses camera or positioning data to reconstruct vehicle routes through entrances, exits, ramps, and floors.
Identifies congestion hotspots and abnormal behaviour, including wrong-way driving and vehicles stopping in traffic lanes.
Helps improve traffic-lane design and staff deployment.

Parking Duration and

Overstay Management

Calculates each vehicle’s parking duration.
Identifies overstays, overnight parking, and short-stay vehicles.
Supports visitor car parks, time-limited loading bays, and vehicle-turnover management at inspection lanes.

Blacklist and

Anomaly Alerts

Sends real-time alerts to the control centre for stolen or blacklisted license plates, unauthorized entry, prolonged occupancy, wrong-way driving, vehicles blocking traffic lanes, and equipment disconnections.
Can integrate with vehicle barriers to automatically deny access.

Vehicle Tracking and Counting System for a Large Hong Kong Residential Estate

SOCIF provided a vehicle tracking and counting system for a large Hong Kong residential estate. Vehicle entry and exit volumes, on-site vehicle numbers, and camera footage are transmitted in real time to the resident platform and property management office. This enables management to monitor vehicle locations at any time and improves estate traffic management efficiency.

SOCIF AIoT Vehicle Tracking and Counting System

Core Features Overview

License Plate Tracking, Including Motorcycles, and Vehicle Classification

Recognizes license plates of common Hong Kong vehicles, including cars, vans, and motorcycles.

Links entry, parking, and exit records into one journey record for vehicle locating, overstay detection, and traceability.

Classifies private cars, taxis, vans, buses/minibuses, and motorcycles.

Provides vehicle-type statistics by time period to support parking-space planning, height-restricted lanes, and motorcycle parking.

On-Site Routes and

Traffic Hotspots

Uses camera or positioning data to reconstruct vehicle routes through entrances, exits, ramps, and floors.

Identifies congestion hotspots and abnormal behaviour, including wrong-way driving and vehicles stopping in traffic lanes.

Helps improve traffic-lane design and staff deployment.

Parking Duration and

Overstay Management

Calculates each vehicle’s parking duration.

Identifies overstays, overnight parking, and short-stay vehicles.

Supports visitor car parks, time-limited loading bays, and vehicle-turnover management at inspection lanes.

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Blacklist and

Anomaly Alerts

Sends real-time alerts to the control centre for stolen or blacklisted license plates, unauthorized entry, prolonged occupancy, wrong-way driving, vehicles blocking traffic lanes, and equipment disconnections.

Can integrate with vehicle barriers to automatically deny access.

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