Customer Demand

The project requires monitoring and analysis of the flow of subway boarding and alighting on various lines and during different time periods. The departure interval can be adjusted to guide passenger diversion, and vehicle maintenance can be carried out in a timely manner based on the load situation. This will comprehensively improve the riding experience, safety guarantee, and operational efficiency.

Project Description

By using advanced stereo vision technology to obtain environmental depth data and intelligent algorithms, continuous tracking and accurate statistics can be achieved in crowded and flowing scenes, which can meet the needs of passenger flow statistics and monitoring in rail transit scenarios.

Advantages of the plan

1. The statistical accuracy can reach 95%, automatically filtering out luggage, bags, and other items that do not need to be counted; 2. Adapt to different installation heights/angles, which can meet the vast majority of installation needs; 3. Equipped with a 140 ° x120 ° large field of view lens, with a wide coverage area; 4. Minimum support for installation height of 1.7m, while ensuring accuracy; 5. Can count stably in low light and dark environments.

Project results

Assist customers in collecting passenger flow data by time and region, develop reasonable departure times, connect statistical data with PIS, guide passenger diversion, and reduce cabin congestion; At the same time, based on the actual operating load of the vehicle, timely vehicle maintenance is carried out to eliminate safety hazards.

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A provider of more accurate behavior recognition solutions

Business Consultation Hotline (Weekday 09:00-18:00)

+86-010-81046658

Collaboration email: mkt@humanplus.ai

Company Headquarters: 1802, 18th Floor, 768 Longmian Avenue, Jiangning District, Nanjing City, Jiangsu Province

Beijing Office: Room 301, Metaverse Innovation Center, Building A1, Innovation Center, No.1 Guanghua Road, Tongzhou District, Beijing

European Office: Taunusanlage 15, 60329 Frankfurt am Main, Germany