Whether they are train stations, ports, or airports, transport hubs are strategic locations where millions of people and vehicles intersect every day. They are essential for the proper functioning of cities and modern economies. However, they also face significant challenges, including security, efficiency, and flow management.
Key Challenges of Transport Hubs
As nerve centers, transport hubs encounter significant obstacles. Manual surveillance of vast areas is often hindered by inefficient processes, leading to major issues:
Security: transport hubs are prone to accidents, gatherings, abandoned luggage, fires, and more…
Efficiency, including reducing wait times, optimizing field interventions…
Flow management: transport hubs must be able to manage the flow of people and vehicles in a smooth and safe manner.
The Contributions of Computer Vision to Industry Players
Computer vision proves to be a fascinating tool whose utility transcends the boundaries of innovation. At the convergence of artificial intelligence and image processing, computer vision offers visual understanding to machines, thus expanding their capabilities beyond simple automation. This revolutionary field enables computers to visually perceive and interpret the world around them, simulating human perception. From object recognition to the analysis of complex scenes, computer vision finds diverse and crucial applications in various sectors such as logistics, retail, and smart cities….
Transport hubs are no exception. Computer vision emerges as a powerful lever within these locations, bringing a myriad of substantial benefits that fundamentally redefine operational standards.
One of the most striking advantages lies in improving security. By integrating advanced detection technologies, computer vision, through platforms such as XXII's CORE, enables constant monitoring of critical areas. It quickly identifies emergency situations such as people on the ground, fire outbreaks, or suspicious gatherings, triggering instant alerts for immediate responses.
Simultaneously, computer vision strengthens the operational efficiency of transport hubs. By analyzing real-time traffic, anticipating congestion, and optimizing loading/unloading, computer vision-based systems reduce wait times and maximize the use of infrastructure. Forklifts and other equipment also benefit from precise tracking, allowing proactive management and more efficient resource utilization.
Furthermore, computer vision plays a central role in flow management. Through analyzing movement patterns, early detection of traffic jams, and space optimization, transport hubs can strategically plan and adjust their resources. CORE by XXII provides a clear view of attendance trends, allowing for wise resource allocation and proactive planning.
Outcomes and KPIs
Through its Dashboard, CORE offers a series of crucial KPIs to evaluate the performance of transport hubs. These indicators include incident detection times, alert accuracy, intervention time reduction, and much more. The platform enables a thorough assessment of operations, promoting continuous improvement of security and efficiency.
In summary, computer vision becomes the catalyst for innovation within transport hubs, offering substantial benefits in terms of increased security, optimized operational efficiency, and intelligent management of logistics flow. By adopting these technologies, transport hubs open themselves to an era where the convergence of automation and intelligence redefines the standard, thus propelling their operations towards a new dimension of performance.
Some Use Cases Provided by CORE to Transport Hub Players
Traffic Management: CORE transcends traditional approaches by monitoring real-time traffic, analyzing movement patterns, and predicting congestion before it occurs.
Optimization of Loading/Unloading: CORE orchestrates operational efficiency by analyzing the flow of goods, adjusting loading schedules, and minimizing wait times at transport hubs.
Equipment Tracking: CORE ensures precise tracking of forklifts and other equipment, contributing to effective usage and proactive maintenance.
Heavy Machinery Control: By identifying and monitoring heavy machinery, CORE enhances security, minimizing potential accident risks in priority environments.
Space Optimization: By analyzing current space usage, CORE suggests modifications for more efficient layout in transport hubs.
Traffic Congestion Management: CORE's real-time monitoring allows for anticipating and managing traffic jams, detecting early signs of congestion for immediate responses.
Attendance Analysis: CORE provides valuable data for understanding attendance, enabling operators to have a clear view of trends for resource and service planning.
People on the Ground Detection: In emergency situations, CORE quickly identifies the presence of people on the ground, triggering alerts for immediate intervention.
Fire Outbreak Detection: CORE monitors sensitive areas, detecting fire outbreaks at their onset for a rapid response.
Suspicious Grouping Detection: Identifying and monitoring groupings of people, CORE contributes to the prevention of security-related incidents.
Surveillance of Isolated Areas: In vulnerable points, CORE ensures constant surveillance, reducing risks related to suspicious activities.
Extended Parking Detection: CORE quickly responds to potentially dangerous or unusual situations by detecting extended parking.
Detection of Suspicious Individuals and Intrusions: CORE's proactive security identifies suspicious behaviors and intrusions, enhancing the overall security of transport hubs.
Individual Safety Equipment Usage: CORE monitors the proper use of individual safety equipment by employees, ensuring safe operations.
Forgotten Objects and Prohibited Sensing Actions: Beyond individuals, CORE detects forgotten objects and prohibited sensing actions, minimizing the risks of incidents in critical environments.
Going Further: A Closer Look at CORE Serving the SNCF Group
XXII and its longstanding partner, SNCF, have entered into a partnership aimed at enhancing the safety and efficiency of transportation. This partnership materializes through two flagship European projects: Prevent PCP and VIESTA.
The Prevent PCP project aims to develop a abandoned luggage detection solution to meet the specific needs of the public transportation sector, as well as large gathering areas. This solution is based on XXII's computer vision technology, which allows real-time detection and identification of abandoned luggage.
The Prevent PCP project is currently being deployed in several SNCF stations. The initial results are promising, with a detection rate of abandoned luggage exceeding 90%.
The VIESTA project aims to develop an artificial intelligence solution embedded in SNCF wagons. This solution will collect and analyze data in real time to improve transportation safety and efficiency.
The data collected by VIESTA can be used for:
Incident Detection: VIESTA can be used to detect incidents during the journey, such as fires, breakdowns, or intrusions.
Passenger Management: VIESTA can be used to manage passenger flows, particularly to avoid congestion and emergency situations.
Preventive Maintenance: VIESTA can be used to identify potential problems with equipment in order to repair them before they cause incidents.
The partnership between XXII and SNCF is a concrete example of how computer vision technology can be used to enhance transportation safety and efficiency. The two flagship projects of this partnership, Prevent PCP and VIESTA, have the potential to revolutionize the way public transportation is operated. This partnership is also an asset for both companies. For XXII, it is an opportunity to demonstrate its expertise in computer vision and strengthen its presence in the transportation market. For SNCF, it is an opportunity to innovate and position itself as a leader in transportation safety and efficiency.
