Passenger Information System

Making AI accessible in Transport & Mobility

方案優勢

Estimated Time of Arrival (ETA)
Passenger Counting System (PCS)
Transport Management System
Automated people counting can greatly reduce human administrative costs
Improve passenger's travel experience
Assist operators to regulate and monitor the service performance of fleets


SOCIF Solution Introduction

優惠詳情

Free PoC
Proof-of-concept

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詳情

Passenger Information System

SOCIF mainly focuses on Passenger Information Solutions (PIS) such a providing Estimated Time of Arrival (ETA), Passenger Counting System (PCS), Transport Management System (FMS) for the Transport sector.

Estimated Time of Arrival (ETA)

SOCIF provides passenger fleet companies and their passengers with real-time Estimated Time of Arrivals on the web or mobile apps by installing GPS positioning devices or using the installed GPS signals for passenger fleets, so that they can be rest assured and enjoy their rides. In addition to improving passenger travel experience, it can also help operators monitor the service performance of their fleets.

SOCIF provides ETA service to 30+ residential/ commercial properties, such as Pacific Palisades, Hong Lok Yuen, Park Island, Royal Ascot etc.. We aim to enhance resident experience & increase user engagement of the Property App. Currently, we are serving more than 100 shuttle buses in Hong Kong.

Passenger Counting System (PCS)

Through the use of independent edge computing technology and AI image analysis technology, our people counting system can greatly enhance operational efficiency, data analysis capabilities, and reduce the labor and administrative costs of related statistical work. The automated statistical system can even produce income records and estimates, so that the saved resources can be further utilized in areas such as business promotion or innovation.

Display of PCS

1. Install ‘SOCIF Edge Computing Device’ & connect with existing in-vehicle cameras

2. Empower AI which enables passenger detection

3. Display real-time data on the management system

Transport Management System 

For more than 160 Green minibus. 
Tender Software Development & Maintenance:


示範視頻


客户案例

CASE
1
Estimated Time of Arrival (ETA) system for Public Green Minibus in Hong Kong
SOCIF has been involved in an HKD 65 million government contract (i.e. Transport Department of HK) with HKT and Hong Kong Octopus to cooperate with more than 160 minibus operators in providing the Estimated Time of Arrival (ETA) service for 3500+ public green minibus, serving 1.5 million daily passengers.

公司簡介
SOCIF is a technology startup under HKSTP incubation, specialized in providing Smart Transport solutions. Our focused technology areas include location-based GIS, AI video analytics and edge computing. SOCIF mainly focuses on Passenger Information Solutions (PIS) such as providing Estimated Time of Arrival (ETA), Passenger Counting System (PCS), Fleet Management System (FMS) and Traffic Analysis System (TAS) for the Transport sector. SOCIF has been established for 4 years, with clients ranging from governments, bus operators, minibus operators, metro operators, logistic companies and property management service providers. For example, SOCIF has been involved in an HKD 65 million government contract (i.e. Transport Department of HK) with HKT and Hong Kong Octopus to provide the Estimated Time of Arrival (ETA) service for 3500+ public green minibus, serving 1.5 million daily passengers. Currently, SOCIF is expanding its PIS solution offerings to overseas countries such as Africa and Brunei. [Products & Service] - Estimated Time of Arrival (ETA) solution for shuttle bus services - Passenger/people counting solutions for transport / indoor - Fleet Management/Route Optimization service for transport & logistic - Video analytics solutions using the existing CCTVs - AI model development for video analytics solutions - Software/system/mobile app/web-app development - A mobile app “EasyTransit” for on-demand shuttle bus pooling services in Hong Kong with over 100,000+ user download