5 Use Cases for Video Datasets in Transportation. Public Transportation

Introduction To Video Dataset
Video surveillance dataset is now an increasingly common feature in buses and other public vehicles. A survey carried out by Axis Communications, it was found that around 95 percent of respondents, located in 30 countries, have installed security cameras into their vehicles. But even using video surveillance, it doesn't solve the previously problems confronted by public transportation.
Public transport is an industry that is susceptible to crimes and accidents. Although use of Video Dataset provides insight into the security of vehicles, it isn't able to solve many other issues that arise when traveling. It is also crucial to learn from the experience and apply it to continuously improve the procedures.
Let's examine some ways in the use of video analytics to help the public transport system.
Reduce Overcrowding: In peak times transportation vehicles may become overwhelmed. In constant overcrowding, it can affect the vehicle's performance and in turn, alter the comfort of the passengers as well as their security. With the help of counting the number of people in the vehicle the number of people in the vehicle, an alert could be sent to the driver if the limit of passengers is higher than the specified threshold. This information can assist the driver in regulating the number of passengers. An app that is mobile that allows passengers to use it or an electronic display in the station for boarding can inform the passengers about the number of people inside before they take the bus.
Time Management: Video Dataset assist authorities as well as drivers in determining the duration of each trip. The cameras begin recording when the ignition is switched on. Based on previous stored data, VMS system can anticipate peak traffic times. Therefore, every journey can be tracked and evaluated to improve the efficiency of the process and deliver improved service for commuters. This can help drivers and the backend team members to identify why they are unable in reaching the destination.
Analysis of Behavior: The behavior of the driver can be analyzed by using various manually collected Datasets For Machine Learning. Dash cams working together with an accelerometer, is able to detect abrupt breaking speed, acceleration and abrupt turns, which can point to the reality that the driver isn't fully in control of his vehicle. The authorities are able to see and find out whether they suspect that the driver has been in an impaired state. Additionally the behavior of passengers can be studied to improve the safety for co-passengers.

Safeguarding the Driver: Dash cams with analytics assist the driver to spot any object or person in the road ahead and assist in avoidance of accidents. Rear cameras can also spot other vehicles in the proximity and notify the driver so that they can avoid accidents involving tailgating. For school buses, rearview mirror cameras that have motion sensing capability can tell the presence of students who are trying to push their hands or heads out of the window. This could trigger an alert to the driver.
Face recognition algorithms are able to help detect any criminals or suspects with criminal records. Through face recognition, the image is recorded and instantly matched to an existing database that is on the server side that was previously taken. This further increases the security for public transport.
Detection of Blind Spots: There are spots close to vehicles which are not in the drivers' view. The blind spot detector systems are integrated into an VMS system fitted with high resolution cameras as well as lasers and radars are able to detect movements or other activity at the locations that the driver isn't able to discern. This can ensure safety and prevent accidents.
Recording Incidents: In the event of unfortunate events like accidents, the footage could be utilized as evidence in the legal system. This could help authorities in dealing with lawsuits.
Video Dataset can make public transport more secure and efficient while in the same time, provide insight into every journey to enhance the service for commuters on a daily basis. The risk of accidents can be reduced and the added security will inspire more people to take advantage of public transportation.

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