RM新时代有限公司

Smart Mobility

Smart Mobility

In-vehicle intelligent analysis

Build a full-perception analysis system along bus routes to support smart mobility construction

Advantage analysis

Bus "floating car" route data analysis

Analyze video along bus routes as an important part of traffic data sources for smart mobility construction

Leading AI algorithm analysis

Based on deep learning vision algorithms, accurately identify road obstacles (trash cans, manhole covers, debris), markings, traffic light failures, etc.

Application scenarios

Data dashboard - cockpit

Present overall situation based on GIS map
Overall situation: overview of station passenger count, pedestrian and vehicle events, road condition events
Pedestrians along route: real-time/historical ranking of station passenger count, pedestrian gathering distribution map
Vehicles along route: traffic congestion, illegal parking event distribution map
Road conditions along route: weather anomalies, traffic light failures, road marking damage, road

Bus in-vehicle backend intelligent analysis application

Specific analysis and application of bus station passenger count, pedestrian and vehicle events, road condition events.
GIS map-based display, various data analysis statistics and abnormal events
List-based display, various data analysis statistics and abnormal events
Event trigger rules and linkage handling settings
Support viewing associated historical video

Resource management

Management and maintenance of basic information such as bus routes, bus stops (up/down direction), and bus vehicles, supporting data acquisition from third-party bus platforms

Smart Airport

Smart Rail Transit

Human-Centered Security Access Management, Station-Centered Collaborative Operations Management

Advantage analysis

High-precision face recognition algorithm

Supports tens of millions of faces for 1:N recognition, millisecond response for face gate pass, supports masked face recognition, applicable to complex lighting scenarios.

High-performance vision/speech AI algorithms

Speech algorithms serve intelligent customer service, vision algorithms are applied to smart stations, supporting city-level massive video and speech analysis and processing.

Comprehensive accurate passenger flow analysis

Covers accurate passenger flow analysis from station hall, platform to carriage, performs head-shoulder analysis on carriage panoramic cameras, supports passenger flow simulation analysis.

Full-process smart rail transit practical experience

Projects such as face payment for metro, smart stations, and accurate passenger flow have been stably operating in multiple cities nationwide, with full-process project implementation experience.

Business Modules

Face payment for metro

Based on face recognition algorithm platform, supports tens of millions of face databases, provides services such as face registration, face gate pass, and online payment deduction, with millisecond response for face gate pass.

Smart station

Based on station HD network camera video streams, combined with visual AI algorithm analysis, realize real-time monitoring and early warning of abnormal personnel behavior and abnormal equipment status in the station.

Accurate passenger flow

Relying on HD network cameras from station hall, platform to carriage, realize real-time monitoring and early warning of passenger flow routes and crowd density in station hall/platform/carriage.

Safety control

Relying on HD cameras in metro depots and metro construction sites, realize safety behavior management of construction personnel and 360° status monitoring of key vehicle components.
National Hotline

400-151-5992

Monday to Friday 9:30-18:00 (Beijing Time)

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Yue ICP Bei 15087156 Hao We will continue to focus on technological innovation and serving global customers, while calling for the establishment of a more fair and reasonable international rule system to promote open and inclusive technological exchange and development.

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