The transportation industry is in the midst of a digital transformation. With self-driving vehicles expected to hit the road this year and ride-hailing services like Uber and Lyft continuing to expand, it’s no surprise that companies are looking for ways to improve both passenger experience and safety. One way they can do this? By integrating artificial intelligence into their operations. This has led many forward-thinking companies in the transportation space—from airports to city transport departments—to begin using video intelligence by Sightcorp as part of their AI strategy. This article will explore how this technology works, what it can do for your business, and how you can use it yourself!
An Introduction to Video Intelligence
Video intelligence is the ability of a video surveillance system to learn, predict and act on video content. It enables the system to analyze and make predictions about what is happening in the video. This can alert people to events that may happen, such as a person stealing something from a store or an aircraft flying into restricted airspace.
The more data, the better.
The more data, the better.
Video intelligence is a powerful tool that can help operators and passengers alike. It can improve the passenger experience by assisting with traffic flow, congestion management, safety, and security. Video intelligence also plays an important role in maintaining infrastructure—from traffic management to maintenance of equipment such as tunnels, bridges, and railway lines.
Context is key
Context is key to understanding, learning, and decision-making. It’s also essential in human interaction and the foundation of intelligence.
As you read this article, you may be sitting comfortably in your browser or on a mobile device, reading an email on your phone that contains links to other articles. In other words, context is everywhere!
How can integrating video intelligence further enhance the passenger experience?
Video intelligence, which includes facial recognition and object detection, can improve the passenger experience by identifying passengers who have been late for their flights or may have forgotten something in the security area. This will allow them to receive attention before boarding to get to their flight on time and minimize delays.
Facial recognition is another technology that could improve the passenger experience by identifying repeat offenders known for causing disturbances at airports or onboard flights. This technology would help authorities track potentially disruptive individuals, ensuring better security for everyone involved.
Object detection also has many applications. It can detect weapons or other dangerous items that might cause harm onboard planes or airports.
Moving people more efficiently
As video intelligence continues to evolve and become more widely adopted, it is likely to impact the transportation industry profoundly.
Video intelligence can help improve the passenger experience by providing real-time feedback on crowding levels, traffic patterns, and other factors that affect customer satisfaction. This information can then be relayed back to passengers to inform their decisions about where they want to be dropped off or picked up.
The technology also has the potential to help improve safety by providing an early warning system for hazardous situations such as accidents or security threats. The data collected from these cameras could allow transportation authorities to take appropriate action before any incidents occur.
Most importantly, video intelligence provides an opportunity for improving efficiency by reducing travel times and increasing capacity within existing infrastructure systems (such as roads). It also allows authorities responsible for managing transportation systems (e.g., port officials) to access high-resolution images from different parts of their facilities at any time during operating hours so that they may monitor traffic flow patterns and make adjustments whenever necessary.
Ensuring safety for passengers and operators
Ensuring the safety of passengers and operators alike is a priority for transportation companies. The goal is to minimize the risks associated with road transportation, whether it be in terms of injury or death. Video intelligence can help you achieve this goal by providing insight into your operations that you never had before. For example, suppose you’re concerned about driver fatigue. In that case, video analytics can detect sudden braking or lane departure violations that may indicate drowsiness on behalf of your drivers and help you take action before an accident occurs. Similarly, if your company has a policy against texting while driving or using mobile phones at all while at the wheel—and most do—video intelligence can quickly spot instances where drivers are breaking these rules so you can discipline them accordingly.
Conclusion
This is the future of public transportation. We’re at a tipping point where we can use technology to make our lives easier, safer, and more productive. Video intelligence has proven to be an effective tool for improving safety and efficiency in many industries, including transportation. With this new technology on board, it’s clear that the future of public transportation is bright!
