How AI is riding to the rescue to keep streets safe in a changing world
Captur and Unitary are joining forces to make micromobility work for everyone by giving suppliers, customers and local authorities the AI tools they need to keep streets safe and uncluttered.
Unitary
London, United Kingdom
The problem on our streets
Micromobility has transformed urban transport across Europe, but it has also created real tensions with pedestrians, local authorities, and accessibility advocates. Poorly parked e-scooters block pavements, obstruct wheelchair ramps, and create hazards for visually impaired pedestrians. Several charities have called for rental schemes to be scrapped entirely — putting the future of shared micromobility at risk.
A new approach to street safety
Captur and Unitary are combining their AI capabilities to give operators, councils, and cities the tools they need to enforce responsible parking at scale. Captur's on-device vision validates parking photos in real time, while Unitary's content moderation AI flags unsafe or obstructive placements. Together, the partnership provides a feedback loop that nudges riders toward better behaviour without requiring expensive physical infrastructure.
Making micromobility work for everyone
The joint solution is designed to address the concerns of all stakeholders. Operators get automated compliance data for regulators. Councils get visibility into parking patterns and hotspots. And pedestrians — particularly those with disabilities — benefit from fewer obstructions on pavements. By making parking accountability a built-in feature rather than an afterthought, Captur and Unitary are helping to secure the long-term viability of shared micromobility in cities worldwide.
Visually impaired and blind people have been particularly vocal about their concerns, with several charities calling for micromobility schemes to be scrapped
