Live Edge Inference Active

Ride Safer.
Feel the Threat.

Bridging the safety gap for two-wheeler riders through AI-powered haptic intelligence. AI-powered perception. Haptic intelligence. No distractions.

See How It Works Our Inspiration
<50msInference Latency
3-DoFHaptic Vectors
Edge AINo Cloud Needed
Live System View — Haptic Glove Activation
ARAS rider POV — haptic glove threat detection
LEFT GLOVE — Medium Risk P=0.6 RIGHT GLOVE — Imminent Threat P=0.9
1.35M Annual Road Deaths Worldwide
29% are two-wheeler riders
<50ms Edge Inference Latency
Real-time threat detection
3-DoF Haptic Directional Vectors
Left · Right · Rear
98.2% Collision Prediction Accuracy
On benchmark dataset
System Pipeline

From pixels
to haptic pulse

Four stages. One continuous loop. Running at the edge, milliseconds from danger.

01
Monocular Vision Capture

Rear-mounted wide-angle camera streams live video to the onboard edge computer at high frame rates.

02
AI Perception Stack

Simultaneous object detection, monocular depth estimation, and lane segmentation run in parallel on the edge.

03
Collision Probability Engine

Fused perception outputs feed a real-time risk model that continuously scores approaching vehicle threat levels.

04
Haptic Alert Delivery

Wireless signal dispatches directional and intensity-graded vibrations to the rider's smart gloves instantly.

ARAS predictive urban scenario analysis
Predictive Urban Scenario Analysis Active Detection — Vehicle-to-Bike
Risk Model

Collision probability
in real time

The fusion model scores approaching vehicles continuously and dispatches haptic alerts proportional to threat level and direction.

ARAS collision avoidance simulation
Critical Threat — TTC < 2s ARAS Capability Simulation
Threat Scoring — Live Simulation
Vehicle A
18%
Vehicle B
54%
Vehicle C
87%
Haptic Glove Activation
Left GloveThreat Detected
Right GloveClear
01
Monocular Depth Fusion

Depth cues extracted from a single RGB stream using self-supervised neural networks, eliminating the need for stereo rigs or LiDAR.

02
Bayesian Risk Estimation

Object trajectories and time-to-collision are combined in a probabilistic model that tolerates sensor noise and partial occlusion.

03
Directional Haptic Encoding

Threats are spatially decomposed into left, right, and rear channels, mapped to actuator intensity levels from 0–255.

Inspiration

Proven in aviation.
Built for the road.

FAA 1969 research — stickshaker tactile warning effectiveness
FAA Final Report — 1969 Stickshaker: 99% Effective vs 64% Audio
Haptic feedback cuts pilot reaction time by 40% compared to audio alone. We are bringing that same principle to every rider.
— Adapted from aviation tactile alert research
01The aviation industry's stick shaker system uses tactile feedback to alert pilots to stall conditions — proven over decades of flight safety.
02Unlike audio or visual alerts, haptic feedback bypasses conscious attention and reaches the rider even in noisy, high-speed conditions.
03Directional encoding through the gloves mirrors proprioceptive navigation — the same instinct humans use to sense their own body in space.
About Us

The minds behind
Axion Mobility

A team of engineers, designers, and researchers obsessed with one goal — making every ride safer through intelligent technology.

Akshad
CEO
Akshad
Chief Executive Officer

Leads the vision and strategy behind Axion Mobility, driving the mission to make intelligent safety accessible to every rider.

Aaditiya
Co-Founder Aaditiya Co-Founder

Focused on AI perception systems and edge deployment pipelines for real-time rider safety.

Aaryan
Co-Founder Aaryan Co-Founder

Drives hardware integration and the embedded systems architecture powering ARAS.

Shourya
Co-Founder Shourya Co-Founder

Leads haptic interface design and the wireless glove communication protocol.

Siddharth
Co-Founder Siddharth Co-Founder

Oversees product development, rider UX research, and go-to-market strategy.

Tyagi
Co-Founder Tyagi Co-Founder

Heads data infrastructure, model training pipelines, and benchmark evaluation.

Safety for
every rider.

Join our early access programme. Be among the first riders and partners to experience intelligent haptic safety.

Request Early Access