The Business Case for Computer Vision in Transportation

AI-enabled fleet management platforms enable real-time alerting and analysis to improve vehicle safety and efficiency.

What it Does Icon

What it Does

Computer vision (CV) is at the core of an intelligent transportation system that powers enhanced safety solutions like advanced driver assistance systems (ADAS) and vehicle monitoring for fleets.

Benefits Icon


  • Increase safety, reducing insurance claims by 15% to 30%.
  • Reduce fuel costs by up to 20% via improved monitoring of vehicles.
  • Improve driver behavior related to events like harsh braking, driver distraction, and speeding by up to 75%.
Urgency Icon


HIGH: Worth immediate action to control operational costs, vehicle downtime, and respond to compliance with hours of service (HOS) laws.

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Risk Level

MEDIUM: Risk factors include insufficient field training that causes employees to distrust the technology resulting in higher operational costs, information leakage impacting the security of vehicles, and lack of vehicle telematics generated triggers affecting performance.

30/60/90 Plan Icon

30/60/90 Plan

Identify use cases, vendors providing fleet solutions, hardware, dash cams, and vehicle telematics, then conduct vendor trials and POCs. After acquisition craft plans for custom development, deployment, fleet management workflows, and driver training.

Time to Value Icon

Time to Value

The value of integrating computer vision into a fleet management solution can be realized in 6 to 12 months.

What is Computer Vision in Transportation?

Fleet management platforms enable companies to monitor and manage fleets of five or more vehicles while improving safety and reducing operating costs. Now, computer vision (CV) technology is being applied as part of advanced driver assistance systems (ADAS) to provide real-time alerting and analysis of data captured by dash cameras. It also creates actionable events as shown in the illustration below.

Figure 1: A Functional Overview of Computer Vision in Fleet Management

Fleet management uses a variety of components to implement safety and monitoring via CV:

Dash cameras: Continuously captures video of the inside and outside of the vehicle, however only video related to interesting events is stored to conserve space. Some events, like an impact, trigger CV techniques to extract information from the videos.

Advanced driver assistance systems: Helps drivers avoid accidents by providing audible and visual alerts to real-time events and uses image processing extensively.

Live streaming: Enables real-time monitoring by continuously streaming to the cloud, where techniques like sentiment analysis are used to annotate footage of interest and determine positive, negative, or neutral sentiment for each moment.

Actions: Responds to events like sudden braking by applying CV-powered video analysis to take appropriate action, for example making sure the driver is unharmed. Personnel monitoring the streaming video footage can telephone drivers to check on them. Video can also be used for more mundane maintenance, such as to determine if a vehicle needs cleaning, or if there is a cracked windshield.

Enabling CV-driven solutions are connected dash cameras that provide a 360-degree field of view both inside and outside the vehicle and can stream over radio-area networks (RAN) such as 4G LTE or 5G. Also required: vehicle access via API or specialized hardware plugged into an on-board diagnostics (OBD) port and able to communicate via a RAN.

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