Road safety startup

AI and machine learning proof of concept for driver behaviour analysis

A working PoC platform that strengthened the startup's credibility with potential investors.

Industry
Mobility and Road Safety
Service
Intelligent Systems

The client

A startup with a vision to improve road safety set out to analyze and track car drivers' behaviours using traffic video footage captured by other participants on the road.

To make the case to investors, they needed a proof of concept that demonstrated the technology working.

The challenge

The PoC had to accurately track and analyze specific driver behaviours using AI and machine learning — not just illustrate a concept.

It also had to be easily demonstrable to stakeholders, providing clear evidence of what the solution could do.

The approach

Acumen collaborated closely with the startup throughout the project, treating the PoC as a functioning product slice rather than a prototype sketch.

Both front-end and back-end components were built so the demonstration exercised a real processing path from footage upload through to visualized results.

The solution

What we built.

01

PoC platform

A full proof-of-concept platform with front-end and back-end components, giving a tangible, functional demonstration of the proposed solution.

02

AI/ML video analysis

AI and ML algorithms perform in-depth analysis of sample video footage, tracking and detecting predefined driver behaviours such as speeding and aggressive lane changes.

03

Licence plate identification

The platform identifies and tags licence plates of vehicles involved in traffic incidents, adding precision to behaviour analysis.

04

Driver classification

Algorithms classify drivers by specific traffic rule violations, including red light violations and improper lane changes.

05

UI portal

A user-friendly portal for uploading dashcam footage and viewing clear visualizations of the analyzed data.

Technology

What it runs on.

Approach

  • Artificial Intelligence
  • Machine Learning
  • Computer vision video analysis
Results

What changed for the business.

Demonstrable proof of concept

The platform showcased the technological capability of the proposed solution and enhanced the startup's credibility with potential investors.

Behaviour detection that works on real footage

AI and ML algorithms enabled precise identification and tracking of specific driver behaviours, forming a foundation for comprehensive data analysis.

A road safety tool

Detecting and classifying traffic rule violations provides a means of identifying and addressing dangerous driving behaviour.

Groundwork for commercialization

The PoC established the feasibility of the solution and the basis for future development.

Related service

Intelligent Systems

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