TfL’s AI Cameras branded ‘Subpar’

TfL has indicated that installers can ‘self-certify’ their blind spot information system (BSIS) and moving off information system (MOIS) on the premise that they adhere to the necessary specifications to comply with the October update to the DVS regulations.

However, this approach has led to many misunderstandings among system manufacturers and misinformation provided to operators. While AI cameras may seem more economical, they could incur significant costs when putting profit before safety.

Independent testing has revealed that an artificial intelligence (AI) camera failed to meet the new specifications, primarily due to its susceptibility to adverse road and weather conditions, and poor lighting. This limits the camera’s ability to achieve the requisite 100% performance level and effectively detect vulnerable road users (VRUs).

Based on these findings, TfL must revoke permits issued where AI cameras have been self-certified to meet the new PSS, unless evidence to the contrary can be provided. When these systems fall short of the required performance level, they not only endanger lives but also place operators in a precarious position in the event of serious injury or fatality.

I am utterly gobsmacked that some of the subpar AI cameras made it through as an option for a blind spot. It is not fit for purpose, and we at SMUK will not fit them.

SMUK’s due diligence process ensures it only fits equipment suited for all weather and lighting conditions that HGV operators may encounter.

Brigade Electronics has unveiled Radar Predict, a cutting-edge AI-powered BSIS that protects cyclists from collisions with HGVs. Unlike AI camera systems, Radar Predict has undergone rigorous testing by SMUK, a leading safety solutions provider.

Radar Predict utilises AI to analyse data like vehicle speed, direction, and nearby cyclists. It alerts drivers of potential collisions through a dual-radar unit fitted to the vehicle’s nearside, providing complete side coverage, including the trailer. The system issues differentiated visual and audible alerts based on the time to collision, with escalating warnings for imminent risks. It’s not impacted by low level light conditions, dirt or weather.

The system aims to enhance driver visibility and reduce the risk of collisions, contributing to improved road safety for all users.

Steve MacDonald, chairman, SMUK