AutomotiveReal-world users
Built on what we believe is the world’s largest proprietary dataset of facial videos for vital-sign monitoring.
Concept interface · Physiological signal
72BPM
Signal available
Physiological Intelligence Cockpit
Intelligence for
the human
inside.
The road is only half the story. PIC adds physiological context to driver and occupant monitoring, starting with camera-based heart rate estimation.
In brief
What is FaceMed.ai PIC?
FaceMed.ai’s Physiological Intelligence Cockpit (PIC) is a software layer that estimates physiological signals from suitable in-cabin video, starting with heart rate. It is designed to complement DMS and OMS by adding physiological context for driver and occupant applications.
- Camera-based sensing
- Evaluated mixed-road heart-rate MAE: 3 BPM
- Designed as a complementary cabin input
Published by FaceMed.ai ·
PIC in motion
From physiological signal to vehicle response.
See the PIC concept in context: camera-based heart-rate monitoring contributing an additional signal to a Detect → Verify → Respond workflow.
Book a DemoSelected organisations we have worked with
Why FaceMed.ai
Built for accuracy at
real-world scale.
FaceMed.ai is built for conditions where conventional camera-based vital-sign monitoring struggles: movement, vibration, changing illumination and unconstrained users.
Daily active users
Deployed across transport and mobility in real-world operating conditions.
Mixed-road evaluation
Evaluated mixed-road heart-rate MAE of 3 BPM.
Not simply demonstrated in controlled conditions. Built and evaluated for the real world.
The complementary layer
Behaviour is visible.
Physiology adds context.
Explore how PIC can contribute to an intelligent cabin. Each layer has a distinct role; the value comes from evaluating them together.
Observe the person
“What is the person doing?”
Eye gaze, head pose, posture, movement and responsiveness help interpret visible behaviour.
Behavioural monitoring remains an essential input.
Add a physiological input
“What is happening physiologically?”
PIC starts with camera-based heart rate estimation. An evaluation examines the estimate alongside signal quality, availability and changing conditions.
Explore the sensing approach ↗Design a validated workflow
“What should the system do?”
Combine evidence, verify the situation and apply the OEM’s policy. Occupant checks and support escalation are integration concepts requiring validation.
Explore occupant safety ↗Real-world applications
Physiological intelligence
beyond the laboratory.
Applied across automotive, consumer health and safety-critical environments, with each programme framed according to its demonstrated scope.
Auto Shanghai
Camera-based in-cabin health monitoring for drivers and occupants, integrated into a Toyota Boshoku concept vehicle and presented at Auto Shanghai.
Auto China
Multimodal in-cabin health monitoring integrated into a Toyota Boshoku concept vehicle and presented at Auto China.
CES 2025
Camera-based heart and respiratory-rate monitoring, presented with Bosch at CES 2025 and recognised as a CES Innovation Awards Honoree in Artificial Intelligence.
Aircrew monitoring
Contactless physiological and mental-stress monitoring for aircrew, supporting continuous human-state awareness in safety-critical aviation operations.
Application portfolio
Start with safety. Expand with evidence.
Begin with a defined platform and a measurable question. Explore broader applications as the evidence develops.
Driver safety
Investigate whether a sustained physiological change adds useful context to driver incapacitation or unresponsiveness workflows.
Explore driver applications →Occupant safety
Test whether physiology improves confidence when an occupant appears unresponsive or unable to request support.
Explore occupant applications →Autonomous mobility
Provide an upstream physiological input to verification, remote support and OEM-defined response processes.
Explore autonomous mobility →Choose your route
Built for the teams that bring cabin intelligence to production.
Explore the questions that matter to your team, from camera feasibility to system integration and evaluation design.
Evaluate PIC on your cabin platform.
Start with a 20-minute conversation about your camera platform, target use case and evaluation requirements.