How to Reduce Hit-and-run Accidents with AI Technology

Video technology driven by machine learning is applied in transportation accidents to decrease the crime rate.

A suspect of 2 hit-and-runs crashed into an officer’s motorcycle in the US.

The only thing more infuriating than being in an accident that’s not your fault is watching the driver flee the scene, and it’s unfortunately not all that uncommon. According to research from the AAA Foundation for Traffic Safety, more than one hit-and-run crash happens every minute on America’s roads.

Hit-and-runs occur when at least one person involved in the crash flees the scene before offering help or information to others involved. While hit-and-runs typically occur between two moving cars, they may also involve pedestrians, bicyclists, motorcycles, parked cars, and other property under different circumstances.

Hit-and-runs are serious business and can increase the cost of your medical care and the severity of outcomes, given the delays or total absence of medical attention for victims. These types of accidents can be very difficult for you and your family, and you may be looking for remediation and insurance support. If this has happened to you, you may need a hit-and-run lawyer.

Hit-and-runs often cause property loss and even physical injuries.

Here’s what a national AAA study shows about the severity and frequency of hit-and-runs. To put it in perspective, that’s almost six deaths per day and more than one hit-and-run every minute on US roadways.

▸ Hit-and-runs accounted for over 5% of traffic fatalities.
▸ There’s an average increase of 7.2% every year.
▸ Fleeing drivers accounted for 20% of pedestrian crash fatalities.
▸ 68% of people killed due to hit-and-runs were pedestrians and bicyclists.
▸ 737,100 hit-and-run crashes occurred in 2015.
▸ 2,049 people were killed accordingly in 2016- a 60% increase since 2009.

Low-traffic roads or lack of witnesses could lead to more hit-and-runs.

Hit-and-runs often occur on a low-traffic road or the time which might lack witnesses; hit-and-runs are 4.5 times more likely to happen between midnight and 4 a.m., because of low visibility and a higher likelihood of an intoxicated driver.

Most of the time, writing down or taking a picture of the license plate number of the other vehicle is the most ideal way to help police or victim catch the driver flee the scene. Or try to get a description of the vehicle and where it is heading if it speeds away.

However, since most people tend to be too terrified when the accident happened, they can only carry limited or even pieces of the memories regarding the driver and vehicle, the best solution to capture the hit-and-run driver is to count on AI video analytics to rapidly run the post-event investigation.

SkyREC Appearance Focus in Hit-and-run Investigation

Under a low-light condition, AiMS detects and tracks targets precisely.

With technology improving and prices decreasing, video solutions can even be used for purposes beyond traditional security and safety protection. SkyREC Appearance Focus built on AI deep learning models is a smart, reliable video management and powerful video analytics solution to efficiently monitor, find targets much faster, and works seamlessly with various facial attributes and environmental conditions.

It is perfectly used for the public transportation safety and security segment, particularly applied to accident prevention or investigation due to its robust speedy AI search engine. Whether the incident occurs during the daytime or at midnight with a low-light condition, SkyREC Appearance Focus enables the police to rapidly dig out the suspect based on the impression of the victim (s) or witnesses nearby.

SkyREC empowers users to search targets by appearance for rapid surveys.

▸ SEARCHES BY PHYSICAL DESCRIPTIONS

Allows users to search for a target by selecting certain specific physical descriptions containing clothing type, clothing color, accessories, face mask, gender, age, moving direction, posture, behavior, vehicle type, vehicle color categorization.

▸ SEARCHES BY THE ADDED BOOKMARKS

Empowers users to mark the target images or the most relevant images from the recorded videos as bookmarks to refine the search result, which greatly benefits other video management applications based on apparel, face, and vehicle recognition.

▸ SEARCHES BY THE UPLOADED PICTURES

Enables users to upload the image of the target object for a quick search based on the existing criminals, suspects, or getaway cars. Uploaded images include a photo of the face/body of the person of interest or a picture of the vehicle.

SkyREC AiMS can quickly find the hit-and-run car based on the witness.

▸ SEARCHES ACROSS ALL IP CAMERAS

Supports users to recognize, target, and track objects of interest seamlessly across multiple or all IP cameras in a single location to quickly acquire the information needed that supercharges the security operation efficiency.

▸ BENEFIT THE EXISTING SECURITY SYSTEM

Capacitates the user to leverage the benefits of advanced AI technologies to their previous security investment without having to get rid of the legacy (older) cameras that do not have video analytics built-in.

For hit-and-run recidivists, SkyREC Appearance Focus is ideally and effectively used for identifying and scanning matching faces in photo databases, automatically matching facial features, and even detecting faces on still images and video streams in real-time.

In terms of raising operational efficiency and lowering management costs in both industries, it dramatically supercharges overall security and efficiency by integrating video security, real-time and remote monitoring, and access control together which significantly decreases risks of transport video surveillance. The ideal precautions can avoid problems that we do not yet foresee.

SkyREC AiMS is not only a solution of problem-fixing but a crucial problem-avoidance to deliver more reliable public transport environments at an economical cost connecting the existing security cameras.