C2RO BLOG | The benefits of smart, data-driven transportation during & after a global health crisis
As we continue to navigate through the current health crisis, COVID-19, we must evaluate the role that public transit networks play in the transmission of contagious viral diseases, and their inability to proactively plan and implement preventive measures to avoid large-scale contamination. While many public transport agencies invest a significant amount in their security infrastructure, their inability to quickly derive actionable insights with their surveillance cameras leaves their public environments, staff, and commuters vulnerable to potential safety and health threats.
By leveraging AI and computer vision technology, such as an AI video analytics solution, across their entire transit network, public transport agencies would be able to better enforce critical safety measures by monitoring peak service times and traffic flows. Optimizing their system’s capacity to actual usage and different situations makes for less crowded stations that respect social distancing guidelines, keeping both their staff and commuters safe.
Smart data for smart transportation Easily deployed with your existing surveillance cameras, AI video analytics solutions provide businesses with more accurate traffic counts and socio-demographic insights while introducing the notion of visitor journey (i.e. traffic flow and behavior) analysis in physical spaces. The main benefits of AI video analytics for public transportation can be broken down to:
Smooth traffic flow Study traffic flow direction and user behavior through journey analysis and socio-demographic information. Understand how commuters navigate across your key stations to identify traffic patterns for better prediction of their needs and service requirements.
Optimized fleet & staff management Identify rush hour for each station to match fleet and staff availability to actual user density. Develop data-driven operations that lower wait times, increase service usage and improves the user experience.
Increased safety Obtain accurate traffic counts and link them to demographic data so you know in real-time how many people are in your stations at any given period and if this is beyond your service capacity. Help transit managers and security personnel quickly respond to potential health and safety threats with real-time alerts.
Preventive analysis Automatically and passively screen commuters to monitor visitor health and the safety of your facility. Identify abnormal health and safety patterns to notify health authorities and implement the necessary preventive health measures.
How smart and data-driven transportation can help flatten the curve Having visibility into your traffic flow, their journeys, waiting times, and even demographic information in your public facilities allows you to better understand the behavior and usage patterns of your key user groups. By linking these insights to external factors, such as time and day, you can match transit availability to actual usage patterns, helping you reduce operating costs and enhance the user experience. Moreover, with access to metrics on foot traffic density, visitors’ temperature, and their proximity from one another, you can proactively manage the foot traffic inside your stations and the availability of your transportation fleet, to respect social distancing guidelines and ensure safety of both staff and commuters.
While most businesses are operating remotely, essential service providers such as grocery stores, pharmacies and healthcare facilities, and food/beverage factories remain open. Essential workers are the primary users of public transport during this pandemic, making it critical for public transport agencies to identify high-traffic stations and ensure that the necessary health and safety measures are in place to help prevent the transmission of COVID-19 in large public spaces. As we anticipate returning back to the workplace, public transit stations equipped with AI video analytics that include smart health and safety screening features will gain the public’s trust, while massively contributing to the prevention of a second wave of COVID-19 outbreak.
The first privacy-aware AI video analytics solution For businesses operating in the smart city and transportation, intelligent safety, and commercial real estate industries, the solution of choice for AI video analytics is C2RO’s privacy-aware and biometric-free solution, C2RO PERCEIVE™. Customers using Perceive™ with our BeSafe extension can conduct large-scale analysis of human density, levels of proximity, and body temperature in large, indoor public and private facilities. This can provide government and private industries with the means to monitor public behavior and key health indicators to ensure that we can progressively return to full functionality. Moreover, with real-time alerts and a centralized analytics dashboard, businesses have a global overview into critical operations insights and areas of concern, allowing for proactive and timely responses.
Capable of capturing foot traffic metrics, demographically classified journeys, visitor behavior, and now extended with thermal screening measures for health-related factors in large public spaces, C2RO’s edge-cloud AI architecture is built for large scale sites that allows for inter-camera reconnection while being compliant with Europe’s GDPR and North American privacy laws. Trained with real-world data sets where ambient conditions, image resolutions, camera type, and angles vary, our proprietary AI models self-adapt to different customer deployments and needs, allowing us to uphold our commitment to high data accuracy and quality standards.
Build safe and efficient public transit networks with C2RO PERCEIVEâ„¢.
Different payment terms for different needs
We understand that not everyone might have the financial means to invest in our services at the moment, which is why we developed different payment terms so that everybody can gain the advanced analytics needed to continue to drive business goals and growth during these challenging times.