Artificial Intelligence (AI) is now an increasing part of our life, and we are seeing examples of it being adopted in areas such as detecting drivers who are using a mobile phone or not wearing a seatbelt and measuring speed, but what else can it be used for, and what are the challenges it presents to those using the data?

Modern AI engines can detect and classify vehicles and determine exactly where they are on the road in 3D. AI is already being used to measure speed and determine if drivers are not wearing a seat belt or are using a mobile phone, but it could also be used to:

• Measure the speed of different vehicle types on the same road
• Measure the distance between vehicles
• Vehicles traveling in the wrong direction (dangerous and illegal manoeuvres)
• Could it identify near misses?
• What else? 

However, as we deploy these systems, they create challenges that we need to deal with, which fall mainly into the following three areas:

• Equipment and service costs
• Workload: the increased detections will create increased work for those processing the evidence data
• Legal framework: do we have the best and most effective legal frameworks for the approval of these systems (if they are required)?

Steve Hill, Director UK Sales and Strategy, Hazen.ai

Steve Hill started his career as an engineer before progressing into project and then business management. He has over 20 years experience leading and developing engineering and manufacturing business in a variety of sectors.

Steve started working with Hazen.AI in 2020 and has helped them to develop the strategy for their innovative AI products and to introduce them to the UK market.

He holds degrees in Electrical Engineering and Engineering Project Management, is a Chartered Engineer and Chartered Director.