Summary
- Profile Type
- Technology offer
- POD Reference
- TOGB20251203009
- Term of Validity
- 3 December 2025 - 3 December 2026
- Company's Country
- United Kingdom
- Type of partnership
- Commercial agreement with technical assistance
- Research and development cooperation agreement
- Targeted Countries
- All countries
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General information
- Short Summary
- A UK-based SME is developing AI-powered, retrofit camera modules for shared e-scooters and e-bikes. The on-vehicle edge-AI system detects unsafe riding and incidents, logs events, and generates infrastructure insights for cities and operators. The company seeks commercial agreements and research cooperation with European partners to pilot and scale deployments with operators and public authorities.
- Full Description
-
The UK SME based at the incubator space, Bristol Robotics Laboratory, is developing AI-enabled safety modules for shared e-scooters and e-bikes. The core product is a compact, retrofit camera module that mounts on the vehicle and runs computer-vision models directly on-device (edge AI).
The module continuously monitors a defined field of view around the vehicle and detects events such as pavement/sidewalk riding, near-misses, collisions, and other risky behaviours. Events are processed on the device, and derived signals are sent to the back end. This supports privacy-preserving operation while still providing high-value safety and infrastructure insights.
The hardware integrates with the vehicle’s network bus or IoT gateway, so that safety events can be linked to speed, location and vehicle status, and – where permitted – used to trigger interventions such as dynamic speed caps or geofenced responses. A cloud-based dashboard and APIs enable operators, cities and councils to visualise risk hotspots, evaluate interventions and generate evidence for policy and infrastructure decisions.
The company is seeking to join international partnerships where its technology can be deployed on shared micromobility fleets and/or city-owned vehicles. Target use cases include:
- Pilots in European and UK cities to evaluate micromobility safety and riding behaviour
- Data collection campaigns to identify dangerous junctions, pavement-riding hotspots and infrastructure gaps
- Integration with operators’ existing fleet-management platforms and data pipelines
- Joint R&D on computer vision models, edge-AI optimisation and safety analytics
- Demonstration projects supporting Vision Zero, road safety and active travel policies
The company seeks research cooperation and/or commercial agreement with technical assistance. They bring expertise in embedded systems, computer vision, vehicle network integration and micromobility safety, and can contribute hardware, firmware, cloud analytics and domain know-how to a consortium. - Advantages and Innovations
-
- Edge AI, not video streaming: Safety events are detected on-device, and only structured metadata is transmitted. This reduces bandwidth and cloud costs and supports privacy and GDPR compliance by avoiding continuous raw video upload.
- Retrofit and brand-agnostic: The module is designed to retrofit onto existing fleets from multiple OEMs, rather than requiring a new vehicle platform. This allows cities and operators to upgrade safety capabilities without full fleet replacement.
- Deep integration with vehicle systems: Vehicle Network / IoT integration allows the safety module to correlate behaviour with vehicle telemetry (speed, acceleration, location) and, where permitted, to support semi-autonomous interventions such as dynamic speed limiting or geofenced slow zones.
- Infrastructure and policy insights: Beyond individual rider safety, the system aggregates events into heatmaps of near-misses, pavement riding and collisions. This provides evidence for infrastructure upgrades (e.g. junction redesign, protected lanes) and supports city-wide safety and active travel strategies.
- Modular software stack: The computer-vision pipeline is modular, enabling partners to integrate additional detectors (e.g. vulnerable road users, road-surface defects, parking compliance) or adapt the models to local conditions and regulations.
- Designed for constrained hardware: Models are optimised for low-power edge compute, enabling deployment on cost-effective hardware suitable for large fleets. This improves scalability compared to solutions relying on high-end GPUs or constant connectivity.
These features make the technology particularly suitable for large-scale pilots in real-world urban environments, where privacy, cost and interoperability are critical. - Technical Specification or Expertise Sought
-
The UK company is looking for partners who can provide:
1. Vehicle platforms and data access
• Shared e-scooter / e-bike operators or small-vehicle OEMs able to host retrofit modules on part of their fleet
• Access to telematics APIs for integration and data exchange
2. Urban testbeds and policy context
• Cities, municipalities or regional authorities willing to define priority corridors / zones, provide regulatory context, and support deployment and evaluation of pilots
3. R&D and evaluation expertise
• Universities or research organisations with expertise in computer vision, human factors, transport safety, active travel and/or impact assessment
• Support for study design, KPIs, and socio-economic evaluation of safety and infrastructure impact
4. Systems integration and data platforms
• IT partners able to integrate the technology data into existing mobility platforms, city dashboards or digital twins, and to build APIs or interfaces for third-party tools - Stage of Development
- Available for demonstration
- Sustainable Development Goals
- Goal 11: Sustainable Cities and Communities
- Goal 13: Climate Action
- Goal 3: Good Health and Well-being
- Goal 9: Industry, Innovation and Infrastructure
- IPR status
- IPR applied but not yet granted
Partner Sought
- Expected Role of a Partner
-
Partners sought may be:
- Shared micromobility operators (e-scooters, e-bikes, small shared vehicles)
- Vehicle manufacturers and telematics/IoT providers
- Cities, municipalities, regional authorities and transport agencies
- Universities, research institutes and living labs working on mobility, AI and safety
- Systems integrators and mobility-platform providers
Target sectors:
• Urban mobility and micromobility
• Smart cities and digital infrastructure
• Road safety / Vision Zero / active travel
• Intelligent transport systems and mobility data platforms
• Connected Vehicles
Partners' role and tasks:
- Operators / OEMs
• Provide vehicles and access to integration points (mounting points, power, CAN bus / telematics) for pilot deployments
• Collaborate on technical integration, testing, and operational procedures
• Share relevant operational data and participate in evaluation of rider behaviour and fleet safety outcomes
- Cities / public authorities
• Define priority routes, zones and policy questions (e.g. pavement riding, near-miss hotspots)
• Support permitting and local stakeholder engagement for pilots
• Use aggregated insights to inform infrastructure and regulatory decisions, and provide feedback on usability and impact
- Research organisations
• Co-design study protocols and KPIs (safety, behaviour change, socio-economic impact)
• Analyse datasets and co-author publications or reports on micromobility safety and infrastructure planning
• Contribute to development and benchmarking of computer-vision models and edge-AI approaches
- Systems integrators / platform providers
• Integrate the data feeds and APIs into existing mobility platforms, city dashboards or digital twins
• Co-develop tools for visualising safety heatmaps, performance indicators, and evidence packs for authorities and operators
The overall objective is to build long-term collaborations where the UK company’s edge-AI camera modules provide a shared technical backbone for pilots and commercial deployments, enabling partners to evaluate, scale and embed safer micromobility in European and UK cities. - Type and Size of Partner
- SME <=10
- Big company
- SME 11-49
- R&D Institution
- SME 50 - 249
- University
- Other
- Type of partnership
- Commercial agreement with technical assistance
- Research and development cooperation agreement
Dissemination
- Technology keywords
- 01003006 - Computer Software
- 01003003 - Artificial Intelligence (AI)
- 02009015 - Audio / video
- 01003005 - Computer Hardware
- Market keywords
- 02007016 - Artificial intelligence related software
- 02003 - Specialised Turnkey Systems
- 09001005 - Motor vehicles, transportation equipment and parts
- Sector Groups Involved
- Mobility - Transport - Automotive
- Digital
- Targeted countries
- All countries