The Problem We Solve
With the surge of scooters and e-bikes, cities are navigating a safety minefield. Riders often do not wear helmets and they navigate recklessly which leads to accidents in busy pedestrian areas. It’s a huge challenge for cities and Micro Mobility operators to enforce safety rules and manage these fleets securely.
iwaycode’s mission is to revolutionise micro-mobility safety by using advanced AI and vision technology to detect potential dangers and prevent misuse whilst ensuring safer rides.
The Problem We Solve
With the surge of scooters and e-bikes, cities are navigating a safety minefield. Riders often do not wear helmets and they navigate recklessly which leads to accidents in busy pedestrian areas. It’s a huge challenge for cities and Micro Mobility operators to enforce safety rules and manage these fleets securely.
iwaycode’s mission is to revolutionise micro-mobility safety by using advanced AI and vision technology to detect potential dangers and prevent misuse whilst ensuring safer rides.
Our Vision
We believe in a world where micro mobility is the go-to form of urban transport, transforming our cities into cleaner, healthier spaces. We want to ensure that this transition is not only eco-conscious, but also synonymous with safety and security.
We aspire to lead in an era where cleaner air, reduced emissions, and uncompromised safety define our cities. Together, we can accelerate the shift towards a more sustainable and harmonious urban future, where micro mobility is the unquestioned choice, and safety remains paramount.
Power of Edge Computing
No signal? No problem. iwaycode works everywhere.
Whether you’re riding underground, cruising through a tunnel, or stuck in an area with poor signal — our app keeps you protected.
Our ride safety app uses on-device AI (Edge Computing) to deliver instant collision detection — no internet required.
Everything runs offline and in real-time.
No internet? No delay. No compromise on safety.
Power of Edge Computing
No signal? No problem. iwaycode works everywhere.
Whether you’re riding underground, cruising through a tunnel, or stuck in an area with poor signal — our app keeps you protected.
Our ride safety app uses on-device AI (Edge Computing) to deliver instant collision detection — no internet required.
Everything runs offline and in real-time.
No internet? No delay. No compromise on safety.
AI-Powered Road & Path Segmentation Computing
Our ride safety system uses edge-based computer vision to analyze your surroundings in real time.
It accurately identifies driveable paths, sidewalks, off-road areas, and lane boundaries using deep learning models trained on real-world environments.
This allows for:
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Early lane departure warnings
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Safer navigation on narrow or complex roads
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Instant alerts for off-path riding or obstacle risks
All processed directly on the device — no internet required.
THE BENEFITS
Elevate Micro-mobility Safety with AI-powered Vision
iwaycode utilises the power of artificial intelligence to detect, report, and provide feedback on potential dangers in real-time. With iwaycode’s AI solutions, scooter and e-bike operators can manage safety issues proactively and monitor journeys efficiently. Together we are shaping the future of micro mobility.
Real-time Feedback
Live Safety Monitoring
AI/ML & Edge Computing
Offline Processing
Edge-based Connectivity
Rider Management Dashboard
THE BENEFITS
Elevate Micro-mobility Safety with AI-powered Vision
Iwaycode utilises the power of artificial intelligence to detect, report, and provide feedback on potential dangers in real-time. With iwaycode’s AI solutions, scooter and e-bike operators can manage safety issues proactively and monitor journeys efficiently. Together we are shaping the future of micro mobility.
Real-time Feedback
Live Safety Monitoring
AI/ML & Edge Computing
Offline Processing
Edge-based Connectivity
Rider Management Dashboard
Make Micro Mobility Smarter
Our solution aims to enhance the safety of micro mobility vehicles, benefitting not only the rider but also pedestrians and operators of shared rides and delivery services.
AI detects and promptly reports potential hazards in real-time, providing valuable rider feedback during scooter or e-bike journeys.
Is the rider wearing a helmet or not?
Is the rider close to pedestrians / obstacles?
Is the bike / scooter on a road or on a path?
- Works on multiple OS systems and devices
(Android and iOS) - Mounting bracket ensures correct orientation of the rider camera
- iwaycode is GDPR compliant
IWAYCODE SAFETY
Journey Workflow
Ride Activation
The rider receives a notification from the operator app on the nearest location of an available scooter / e-bike. The rider is granted permission to activate the vehicle.
Authentication
The rider is prompted to authenticate and activate the e-bike / scooter through the app. The rider completes the process by placing their mobile in the phone holder.
Headgear Safety
The rider is prompted to check for a safety helmet using the camera, once identified the image is held on the journey data file.
Rider Behavior
Once the ride has started they are monitored throughout. The rider will receive coloured notifications from the application highlighting a green, amber or red rating identifying their performance on the go.
Ride Starts
At the end of a ride, the app will verify a correct parking location. If the location cannot be verified then this will be reported in real time to help mitigate parking fines.
IWAYCODE SAFETY
Rider Journey Management
Green Status
The Rider has authenticated their Credentials and is Wearing a safety helmet.
Green Warning
The Rider is the driver. The Vehicle is ridden a safe and proper manner and within the correct road segment.
Amber Alert
The App will provide an amber warning to the Rider to take action in a safe manner.
Audible Alarm
If the rider fails to take notice, device will emit an audible alarm or siren that gives the rider a final warning to take action.
Red Warning
If the rider still fails to take action the the App will proceed to a Red Warning and may cut off the motor and disable the vehicle.
Secondary Tracking
The Rider will receive a notification through the app on why the Red Warning was provided.
IWAYCODE SAFETY
Rider Journey Management
Green Status
The Rider has authenticated their Credentials and is Wearing a safety helmet.
Green Warning
The Rider is the driver. The Vehicle is ridden a safe and proper manner and within the correct road segment.
Amber Alert
The App will provide an amber warning to the Rider to take action in a safe manner.
Audible Alarm
If the rider fails to take notice, device will emit an audible alarm or siren that gives the rider a final warning to take action.
Red Warning
If the rider still fails to take action the the App will proceed to a Red Warning and may cut off the motor and disable the vehicle.
Secondary Tracking
The Rider will receive a notification through the app on why the Red Warning was provided.
Benefits for Fleet and
Delivery operators
Control
Provide greater control over rider Behaviour via real time feedback
ROI
Improved ROI through lower insurance premiums based on improved rider Behaviour
Data Access
Access to detailed data logs of rider Behaviour for every ride
New Revenues
Additional revenue streams available on integration with iWaycode AI tools
Regulation
Greater compliance with local government and city regulations
Compliance
Ensures compliance with data regulations (e.g. GDPR)
Contact Us
For operators and town planning managers, learn how iWaycode can help you develop and implement rider safety systems and solutions for greener and safer transport.