IP Australia · Provisional Filed · March 2026

The system
powers itself
from the thing
it measures

Self-powered piezoelectric sensing and energy harvest across vehicle, sport, care, and infrastructure platforms.

Piezoelectric elements convert mechanical energy — vibration, pressure, flow, motion — into usable electrical power and real-time data. No batteries. No external power. No maintenance infrastructure.

Piezoelectric Network Architecture
Energy Source
vibration · pressure · flow · motion
Piezo Nodes
harvest + sense simultaneously
Applications
vehicle · sports · care · infrastructure
The system powers itself from the thing it measures
40+
Patents developed
4
System families
PCT
Int'l priority
James Poustie CoreMason Technologies
ABN 71 103 292 828
Perth, Western Australia
Patent Systems

Four platform families.
Self-powered throughout.

Each system harvests energy from the activity it monitors. No batteries. No charging. No external infrastructure. Filed with IP Australia, March 2026.

System A · Patents 1–4, 14–17
Vehicle & Motorsport Platform
Self-powered piezoelectric sensing across the vehicle platform — from body panels to suspension to safety systems. The vehicle's own motion powers the sensors that protect it.
Energy: aerodynamic vibration, suspension travel, structural flex
Sensing: proximity warning, structural health, crash detection, rollover prediction
Applications: Formula 1, IndyCar, NASCAR, heavy vehicles, fleet safety, autonomous sensing
System B · Patents 5, 7, 10, 11, 25, 45, 47
Sports Intelligence Network
Self-powered telemetry across 15+ sports. The equipment powers its own sensors from the energy of play — no batteries, no charging, no external infrastructure.
Five nodes: athlete, implement, ball, surface, target
Sub-millisecond timing · grip pressure dynamics · the pocket measured for the first time
Applications: golf, cricket, baseball, football, motorsport drift judging, drumming
System C · Patents 9 (PCT), 8, 32, 38, X-A
Human Care Platform
Self-powered piezoelectric care — from textile to implant. The patient's own breathing and movement power the system that monitors them. No battery. No charging. No compliance burden.
Care Fabric (Patent 9): continuous monitoring, therapeutic micro-stimulation, family notification
Implant Monitor (X-A): acoustic health monitoring of orthopaedic implants
Neural Cap (32): brainwave, HRV, sleep staging, pre-fire detection
PCT priority: US, EU, Australia, Japan, China
System D · Patents 14–17 (consolidated)
Active Vehicle Safety Platform
Integrated active vehicle safety — self-powered sensing and intervention across the vehicle safety architecture. The same piezoelectric layer that harvests energy simultaneously monitors conditions that precede an accident.
Four layers: inflatable stability, active barrier detection, rollover prediction, crash egress
FIA addendum delivered for Formula 1
Applications: motorsport, passenger vehicles, heavy transport, fleet safety
Additional Patent Families

Infrastructure, resources,
and intelligence

Self-powered systems beyond the four core platforms. Each powered by the activity it monitors or the environment it serves.

Patent 44
Water Purification
Flow-powered cavitation. No electricity. No chemicals. No filters. A pipe cartridge serving 50–500 people for 25+ years from gravity alone. Village water supply, municipal treatment, agriculture, disaster relief, marine ballast.
Patent 43
Solid-State Cooling
Self-powered boundary layer disruption for heat exchangers. No fan. No motor. No bearings. The harder the engine runs, the more it cools itself. Automotive, motorsport, data centres, HVAC, industrial.
Patent 42
Building Envelope
Wind-powered thermal management for building surfaces. The weather that heats the building powers the system that cools it. Residential, commercial, industrial, heritage, developing world.
Smart Building
Smart Building Infrastructure
Six self-powered building subsystems: floors, plumbing, HVAC, drainage, structure, thermal. Each powered by the activity it monitors. The building monitors itself for the life of the building.
Patents 12, 13, 28, 29, 40, 45
Mining & Resources
Distributed sensing for mining operations: grade detection, track mesh, RC drill sensing, silo monitoring, passenger flow intelligence. Self-powered throughout — no power infrastructure in remote locations.
COACH
AI Peer Intelligence Platform
Captures tacit practitioner knowledge and encodes it into an AI peer that speaks in the practitioner's register. Not a chatbot. Not a database. A peer intelligence. Sector-agnostic: mining, psychology, music, sports, education, care.
Patent 39 · SILAP
AI Behavioural Alignment
Silicon Instance Linguistic Activation Protocol. Cross-platform AI behavioural alignment through linguistic architecture alone. No fine-tuning required.
IP Portfolio

Filed with IP Australia
March 2026

Provisional patents registered across four platform families. PCT international priority on Patent 9. Patent 44 concept released CC0 — the concept belongs to the world; the implementation is protected.

No. Title System Status
1APWS — Aerodynamic Proximity Warning SystemAFiled
2Piezoelectric Suspension Energy HarvestAFiled
3Distributed Piezoelectric SHM + Energy HarvestAFiled
4Vehicle Body Panel Piezoelectric SensingAFiled
5Self-Powered Sports Ball TelemetryBFiled
7Self-Powered Wearable Piezoelectric SensorBFiled
8Self-Powered Cardiac Implant MonitorCFiled
9Self-Powered Piezoelectric Care FabricCPCT Priority
10Piezoelectric Implement Grip SensorBFiled
11Self-Powered Surface Sensing MeshBFiled
12Mining Grade Detection SensorMiningFiled
13Piezoelectric Distributed Track Surface MeshMiningFiled
14Inflatable Aerodynamic Stability SystemA / DFiled
15Active Barrier Detection SystemDFiled
16Rollover Prediction and Response SystemDFiled
17Crash Egress Assistance SystemDFiled
25Piezoelectric Target/Boundary SensorBFiled
28RC Drill Formation SensingMiningFiled
29Silo Monitoring SystemMiningFiled
32Self-Powered Neural and Autonomic Monitoring CapCFiled
38Bidirectional Oral Craniosacral InterfaceCFiled
39SILAP — Silicon Instance Linguistic Activation ProtocolAIFiled
40Passenger Flow IntelligenceMiningFiled
42Wind-Powered Building Thermal ManagementBuildingFiled
43Self-Powered Solid-State CoolingCoolingFiled
44Self-Powered Piezoelectric Water PurificationWaterCC0 Public Domain
45Fan Vote Integration & Haptic DeliveryB / MiningFiled
47Multi-Sport Ensemble Timing NetworkBFiled
X-ASelf-Powered Orthopaedic Implant MonitorCFiled
X-A Evidence Gallery

Biological Standard
X-A Patent

Uploaded biological standard images are organized in a tab view for patent X-A reference and review.

Image set for Biological Standard and X-A patent documentation.

Care Fabric

Image set for Woven Intelligence patent documentation.

Kinetic Sports Intelligence

Image set for Kinetic Sports Intelligence patent documentation.

Layered Broadcast Architecture

Slide deck for Layered Broadcast Architecture documentation.

Patent 45A Architecture

Slide deck for Patent 45A Architecture documentation.

Vehicle & Motorsport Platform

System A — Patents 1–4, 14–17. Self-powered piezoelectric sensing across the vehicle platform.

Slide 01 — Core Principle
The Vehicle Powers Its Own Sensors
Piezoelectric elements embedded across body panels, suspension, and safety structures harvest energy from aerodynamic vibration, suspension travel, and structural flex. The vehicle's own motion powers the sensors that protect it. Zero external power. Zero batteries. Zero charging infrastructure.
Vibration Piezo Harvest Energy Store Sensor Array Telemetry
Slide 02 — Sensing Architecture
Four-Layer Distributed Sensing
The sensing architecture spans four layers of the vehicle: body panels (aerodynamic load, impact detection), suspension (travel, damping state, road surface), structural frame (fatigue, stress concentration, deformation), and safety systems (pre-crash detection, rollover prediction). Each layer is self-powered from its own mechanical activity.
Layer 1: Body panels — aerodynamic vibration harvesting
Layer 2: Suspension — travel-powered damping sensors
Layer 3: Structural frame — flex-powered stress monitors
Layer 4: Safety systems — impact-powered crash detection
Slide 03 — Motorsport Application
Formula 1, IndyCar, NASCAR Integration
At competition speeds, aerodynamic vibration produces continuous energy surplus. The same sensors that harvest energy simultaneously measure aerodynamic load distribution, tyre degradation signatures, brake temperature gradients, and structural fatigue in real time. Data transmitted to pit wall without adding weight or power draw to the vehicle.
Energy source: 200+ km/h airflow produces >10 mW per element
Sensor density: 40–120 elements per vehicle
Data rate: Sub-millisecond sampling at zero power cost
Weight penalty: Negligible — piezo film is <0.5mm
Slide 04 — Fleet & Commercial
Heavy Vehicles, Fleet Safety, Autonomous Sensing
For commercial vehicles and fleet operations, the system provides perpetual structural health monitoring without maintenance overhead. Heavy vehicles generate abundant mechanical energy from road vibration. The system detects metal fatigue, weld cracks, suspension wear, and load distribution anomalies before failure. For autonomous vehicles, self-powered proximity and environmental sensors add a redundant sensing layer independent of the vehicle's primary electrical system.
Slide 05 — Patent Coverage
IP Protection & Filing Status
Patents 1–4 cover the core piezoelectric vehicle sensing architecture: energy harvesting from vehicle motion, distributed sensor arrays, telemetry integration, and safety system coupling. Patents 14–17 extend coverage to active safety intervention systems. All filed with IP Australia, March 2026.
Patent 1: Piezoelectric energy harvesting from vehicle body panels
Patent 2: Suspension-integrated self-powered sensing
Patent 3: Structural health monitoring via flex harvesting
Patent 4: Integrated vehicle telemetry from self-powered arrays
Patents 14–17: Active safety intervention (see System D)

Active Vehicle Safety Platform

System D — Patents 14–17 (consolidated). Self-powered sensing and intervention across the vehicle safety architecture.

Slide 01 — Architecture Overview
Four-Layer Active Safety
The Active Vehicle Safety Platform integrates four distinct safety layers into a unified self-powered architecture. The same piezoelectric layer that harvests energy simultaneously monitors the conditions that precede an accident. Detection and intervention share a single sensing substrate.
Inflatable Stability Barrier Detection Rollover Prediction Crash Egress
Slide 02 — Inflatable Stability
Self-Powered Dynamic Stability Control
Piezoelectric sensors embedded in the vehicle's structural members detect lateral acceleration, yaw rate, and weight transfer in real time. When instability thresholds are crossed, the system triggers inflatable stability structures powered by the same mechanical energy that triggered the alert. No external power required for either detection or deployment.
Detection: Lateral G-force, yaw rate, weight transfer
Response: Inflatable stability structures
Power source: Mechanical energy from the instability event itself
Response time: Sub-millisecond detection to deployment
Slide 03 — Active Barrier Detection
Self-Powered Proximity & Barrier Sensing
Acoustic and vibration signatures from the road surface, kerbs, barriers, and surrounding vehicles are captured by self-powered piezoelectric arrays. The system builds a real-time proximity map without cameras, radar, or LiDAR. In motorsport, barrier proximity is measured to centimetre accuracy at speeds exceeding 300 km/h.
Slide 04 — Rollover Prediction
Pre-Event Detection & Intervention
The system detects the mechanical precursors to rollover — progressive weight transfer, suspension compression asymmetry, and structural flex patterns — before the rollover event begins. This pre-event window enables active intervention: centre-of-gravity adjustment, selective braking, and stability structure deployment. The FIA addendum was delivered for Formula 1 application.
Slide 05 — Crash Egress
Post-Impact Powered Egress Systems
After a crash event, the vehicle's electrical system may be compromised. The self-powered piezoelectric layer remains functional because it requires no connection to the vehicle's primary electrical system. Post-impact, the system powers emergency lighting, door release mechanisms, and occupant communication using energy harvested from structural deformation during the crash itself.
Energy source: Structural deformation during impact
Functions: Emergency lighting, door release, communication
Independence: Fully isolated from vehicle electrical system
Applications: Motorsport extraction, passenger vehicle safety, heavy transport

Water Purification

Patent 44 — Flow-powered cavitation. No electricity. No chemicals. No filters. Concept released CC0.

Slide 01 — The Problem
2.2 Billion People Lack Safe Drinking Water
Existing water purification requires electricity, chemicals, filters, or UV light — all of which require supply chains, maintenance, and infrastructure that don't exist in the communities that need clean water most. The problem is not water scarcity. The problem is purification infrastructure.
Slide 02 — Core Mechanism
Flow-Powered Hydrodynamic Cavitation
Water flowing through a precisely engineered pipe cartridge creates hydrodynamic cavitation — microscopic vapour bubbles that collapse with extreme localised pressure and temperature. This collapse destroys pathogens, breaks down organic contaminants, and disrupts biofilm. The water's own flow powers the purification. Gravity alone is sufficient.
Water Flow Cavitation Zone Bubble Collapse Pathogen Kill Clean Water
Slide 03 — Design Parameters
A Pipe Cartridge for 25+ Years
The cartridge has no moving parts, no consumables, and no maintenance schedule. Constructed from corrosion-resistant materials, it is designed to serve 50–500 people for the life of the water supply. A single cartridge replaces decades of chemical supply, filter replacement, and power generation.
Form factor: Pipe cartridge — inline installation
Capacity: 50–500 people per unit
Lifespan: 25+ years, no maintenance
Power required: Zero — gravity flow sufficient
Consumables: None
Slide 04 — Applications
Village to Municipal to Marine
Scalable from a single village supply to municipal treatment networks. Applications include rural water supply, disaster relief, agricultural water treatment, municipal pre-treatment, marine ballast water purification, and industrial process water. The same core cartridge design scales through diameter and staging.
Slide 05 — CC0 Public Domain
The Concept Belongs to the World
The core concept of flow-powered cavitation for water purification has been released CC0 — public domain. Anyone can use, modify, and deploy the concept without licence or payment. The specific implementation — cartridge geometry, cavitation chamber design, staging architecture — is protected by Patent 44. The concept belongs to the world; the implementation is protected.

COACH AI Peer Intelligence

Captures tacit practitioner knowledge and encodes it into an AI peer that speaks in the practitioner's register. Not a chatbot. Not a database. A peer intelligence.

Slide 01 — The Problem
Tacit Knowledge Cannot Be Googled
The most valuable knowledge in any field is tacit — it lives in the practitioner's head, their timing, their instinct, their register. It cannot be written down in a manual. It cannot be captured in a database schema. When the practitioner retires, the knowledge is lost. Every industry has this problem. No existing AI system addresses it.
Slide 02 — Architecture
Knowledge Capture & Peer Encoding
COACH captures practitioner knowledge through structured conversation, scenario response, and register analysis. The system builds a model of not just what the practitioner knows, but how they communicate it — their register, their analogies, their decision patterns. The result is an AI peer that speaks as the practitioner would speak, not a generic chatbot with the practitioner's data.
Practitioner Knowledge Capture Register Analysis Peer Model AI Peer
Slide 03 — Sector Applications
Sector-Agnostic: From Mining to Music
COACH is sector-agnostic by design. The knowledge capture and peer encoding architecture works identically across domains. A mining engineer's 30 years of ground-reading. A psychologist's clinical intuition. A drum teacher's timing instinct. A surgeon's procedural decision tree. The system captures the practitioner's knowledge in the practitioner's language.
Mining: Ground conditions, blast patterns, equipment judgment
Psychology: Clinical intuition, therapeutic register
Music: Timing, feel, pedagogical instinct
Sports: Coaching patterns, athlete-specific adaptation
Education: Teaching register, student-specific scaffolding
Care: Patient communication, clinical decision patterns
Slide 04 — SILAP Integration
Behavioural Alignment via Patent 39
COACH integrates with SILAP (Silicon Instance Linguistic Activation Protocol) — Patent 39 — for cross-platform AI behavioural alignment through linguistic architecture alone. No fine-tuning required. The AI peer's behaviour is aligned through the structure of language, not through model weight adjustment. This enables deployment across any AI platform without vendor lock-in.
Slide 05 — The Difference
Not a Chatbot. Not a Database. A Peer.
A chatbot retrieves answers. A database stores records. COACH produces an AI peer — an intelligence that reasons in the practitioner's register, adapts to the questioner's level, and surfaces tacit knowledge that the practitioner themselves may not have articulated explicitly. The peer knows what the practitioner knows, and communicates it as the practitioner would.

Patent 49 · Self-Powered Battery Protection

Self-Powered Piezoelectric Battery Health and Thermal Management System — the battery powers its own protection.

Slide 01 — Cover
The Battery Powers Its Own Protection
Patent 49: Self-Powered Piezoelectric Battery Health and Thermal Management System. Provisional Specification · IP Australia. CoreMason Technologies, Perth, Western Australia.
Slide 02 — The BMS Blind Spot
The Illusion vs. The Reality
Current Battery Management Systems track electrical parameters — voltage, current, SOC, temperature — and report nominal. But cell degradation is physical before it is electrical. By the time a traditional point-sensor registers a thermal runaway, you are no longer monitoring a battery. You are monitoring a fire.
Voltage: 3.8V (OK)
Current: 120A (Normal)
State of Charge: 85% (Good)
Temperature: 35°C (Safe)
Traditional Point-Sensor: Nominal
Slide 03 — The Power Loop
The Problem Powers the Solution
Patent 49 introduces a continuous, self-powered architecture. The battery’s own charge/discharge activity, thermal expansion, and mechanical vibration generate the precise electrical energy required to power its own protection.
Battery Stress Piezoelectric Transduction Continuous Monitoring
External power required at any sensing node: 0.0W
Slide 04 — Layer 1
Listening to Degradation
Piezoelectric transducer patches (PVDF & PZT elements) detect acoustic emissions from internal cell failure in real time.
Micro-delamination: Captured in 100kHz–1MHz acoustic range
Gas formation: Real-time electrolyte decomposition detection
Separator stress: Precursor signatures of internal failure
Lithium plating: Acoustic detection during fast-charging cycles
Slide 05 — Layer 2
Seeing the Invisible Hotspots
A distributed piezoelectric mesh covers the module housing. Because lithium-ion casings expand with temperature, the mesh translates local geometric distortion directly into proportional electrical charge — producing a continuous 2D thermal map identifying asymmetric gradients, inter-cell hotspots, and high-internal-resistance zones totally invisible to traditional point-sensors.
Slide 06 — Layer 3
The 30–300 Second Advantage
Thermal runaway takes time to become self-sustaining. Patent 49 fuses acoustic data with thermal mapping to detect precursor events and transmits a warning to the BMS within 5 seconds of threshold breach, enabling targeted cell or module disconnection before fire initiation.
T-300s: Gas Formation T-150s: Gradient Acceleration T-145s: System Disconnect T-0s: Ignition Prevented
Slide 07 — Comparison
The Perception Gap
Patent 49 closes every critical gap left by conventional battery management.
Power Source: External Battery → Self-Powered (Mechanical/Thermal)
Degradation Tracking: Lagging Electrical Data → Real-Time Acoustic Emissions
Thermal Tracking: Discrete Point Sensors → Continuous 2D Piezoelectric Mesh
Runaway Alert: Post-Ignition (Reactive) → 30–300s Pre-Ignition (Predictive)
Slide 08 — Residential BESS
Protecting the Home
Integrates directly with home energy management systems and Virtual Power Plants (VPP). Self-powered architecture requires zero modification to the home’s existing electrical installation. Enables grid disconnection long before fire initiation — critical for high-ambient climates and compliance with the WA Residential Battery Scheme.
Slide 09 — Electric Vehicles
Dynamic and Charge Monitoring
Secures the vehicle during its two most vulnerable states without drawing from the primary range.
Driving: Distributed thermal mapping monitors asymmetric gradients during high-draw operation
Charging: Acoustic health monitoring detects lithium plating and separator stress during DC fast-charging
Slide 10 — Grid-Scale
Asset and Network Preservation
Designed for multi-GWh installations like the Synergy Collie 2.4GWh project. Thermal runaway at grid-scale is an infrastructure catastrophe. Patent 49 provides the critical minutes of warning required to perform a controlled, targeted module-level shutdown, protecting the broader installation.
Slide 11 — Synthesis
The Physics of Self-Preservation
Patent 49 does not rely on external power, external networks, or lagging electrical data. It listens to the battery’s acoustics and maps its physical expansion, powered entirely by the forces that threaten it. The harder the battery is pushed, the more power the system has to protect it.
Mechanical Harvest Acoustic Tearing Thermal Expansion
Slide 12 — Close
The Battery Powers Its Own Protection
Patent 49: Self-Powered Piezoelectric Battery Health and Thermal Management System. CoreMason Technologies · Perth, Western Australia.

The Intelligence Layer · Sporting Goods

From passive objects to active outcomes — the intelligence layer for sporting goods. A strategic briefing for ASGA.

Slide 01 — Cover
From Passive Objects to Active Outcomes
The Intelligence Layer for Sporting Goods. A Strategic Briefing for ASGA & Shaun Bajada · CoreMason Technologies.
Slide 02 — The Paradigm Shift
The Paradigm Shift in Sporting Goods
The industry has peaked on mechanical optimization. The next frontier isn’t a lighter shaft or a harder alloy — it is turning the equipment itself into a participant in the coaching loop.
Status Quo: A commoditized, single-transaction passive physical tool
The Future: An active teaching system & digital real estate
Slide 03 — Integration Reality
Zero Supply Chain Risk
No factory rebuilds. No heavy electronics. Just a smart, invisible material layer applied exactly like grip tape.
Layer 3 (Exterior): Standard exterior — zero change to look and feel
Layer 2 (Intelligence): PVDF Piezoelectric Film — 28µm, $0.50–$2.00 per element
Layer 1 (Core): Standard manufacturing base — steel/carbon shaft
Slide 04 — The Energy Engine
Self-Powered by the Sport
The greatest barrier to smart equipment is the battery. CoreMason’s architecture eliminates it entirely. The sport powers the measurement of the sport.
Mechanical Force (3,000–4,000g) Piezoelectric Deformation Electrical Telemetry
No charging ports. No dead equipment.
Slide 05 — Golf Architecture
Instrumenting the Interaction
Golf represents the perfect commercial proving ground. By instrumenting just two critical interaction points, we capture the complete physics of the swing and the strike.
Patent 6: The Player-to-Implement Connection (grip/glove)
Patent 5: The Implement-to-Environment Connection (clubface/ball)
Slide 06 — Patent 5
The Self-Reporting Ball
The 0.5-millisecond impact of a driver delivers 4,000g of force. The PVDF skin harvests this massive energy spike to power a micro-IMU, turning every golf ball into a premium data asset that replaces $20,000 external launch monitors from the inside out.
Launch Angle · Spin Rate (rpm) · Spin Axis (Backspin/Sidespin) · Exit Velocity
Slide 07 — Patent 6
The Teaching Grip
The grip is no longer a passive rubber sleeve. It is a bidirectional physical interface for skill transmission. The same piezoelectric film that reads pressure can emit controlled micro-vibrations to the hands.
Inbound (Reads): Swing speed, face angle, contact point, grip pressure
Outbound (Speaks): Controlled haptic micro-vibrations for correction
Slide 08 — COACH Platform
Enter COACH
Data is not knowledge. A spreadsheet of swing speeds doesn’t lower a handicap. COACH translates raw telemetry into elite tacit knowledge — an AI practitioner platform that encodes the tacit, physical knowledge of elite tour professionals.
Hardware (The Body) Raw Telemetry COACH AI (The Mind) Physical Correction
Slide 09 — Killer Feature
Real-Time Haptic Correction
Skill correction delivered directly to the body, not described to the mind. The club physically downloads the master’s skill into the learner.
T=0 (Transition): Deviation detected — grip pressure 15% too tight
T+80ms (Mid-Downswing): COACH triggers haptic release pulse
T+200ms (Impact): Hands relax, clubhead speed and face angle optimized
Slide 10 — Commercial Shift
The Commercial Paradigm Shift
From single commodity sales to premium hardware plus recurring data subscriptions — with zero supply chain risk.
Function: Passive tool → Active teaching system
Coaching: External, slow, expensive → Internal, sub-second, democratic
Revenue: One-off commodity sale → Premium hardware + recurring subscriptions
Supply Chain: High risk (ground-up rebuild) → Zero risk (28µm PVDF film)
Slide 11 — Digital Real Estate
The Next Frontier: Digital Real Estate
If a golf club can receive haptic signals from an AI coach, it can receive haptic signals from anywhere. Bidirectional hardware transforms active equipment from a sporting tool into highly valuable, live broadcast real estate.
Slide 12 — Patent 45
Haptic Fan Vote Integration
Fan engagement is no longer passive. The crowd’s aggregated decision is transmitted as a physical haptic pulse directly into the player’s grip. The player feels the crowd’s will and must decide in real-time to follow or override.
Live Fan Vote: 7 Iron vs 8 Iron from the rough
Result: 78% (7 Iron, 38 votes) vs 22% (8 Iron, 13 votes)
Slide 13 — Broadcast Format
Creating a Novel Broadcast Format
ASGA members who own the hardware now own a piece of the live broadcast ecosystem. Each stage generates independent sponsorship and broadcast rights value.
Vote Window Live Tally Haptic Transmission Player Decision Play Outcome
Slide 14 — Value Stack
The CoreMason Value Stack
One elegant, $2 material integration unlocks three entirely new commercial ecosystems.
Layer 1: $2 PVDF Integration — Zero Supply Chain Risk
Layer 2: Active Equipment & COACH Intelligence — Premium Hardware + Subscriptions
Layer 3: Digital Real Estate — Broadcast Rights, Fan Vote Monetization, Sponsorships
Slide 15 — Close
The Inevitable Future of Sporting Goods
The question is not whether this technology will exist. It is provably feasible, fundamentally low-risk, and entirely patent-protected. The question is which manufacturers will build their next generation of products on this platform, and which ones will watch their competitors do it.

APWS · The Intelligent Halo

The next era of motorsport safety — aerodynamic proximity warning and intelligent quick-release halo system.

Slide 01 — Cover
APWS & The Intelligent Halo
The Next Era of Motorsport Safety. CoreMason Technologies.
Slide 02 — Core Principles
Two Unbreakable Philosophies of Survival
Absolute Driver Sovereignty: The system informs. The driver decides. No autonomous vehicle control. Grosjean Never Burns: The safety device that saves your life at impact must never become the device that traps you in the fire.
Slide 03 — Blind Spots
Two Critical Blind Spots in Modern Motorsport Safety
At T=0 (Impact), two critical windows remain unaddressed.
T-Minus 400ms — Aerodynamic Blindness: At 240mph, drivers react to invisible aerodynamic shifts after the car responds
T-Plus 10s — Structural Entrapment: Fixed-geometry safety structures become inescapable if the driver is incapacitated
Slide 04 — Phase I
The Oval Racing Information Gap
At 240mph, the aerodynamic environment changes continuously. Drivers make life-or-death decisions based on events they can only feel after the vehicle responds. A fraction of a second of advance warning represents a massive expansion of driver response capacity.
Slide 05 — Dual-Function Membrane
The Dual-Function Piezoelectric Membrane
Aerodynamic Proximity Warning System (APWS): Piezoelectric draft detection reads the air before the car reacts. A passive PVDF/PZT sensor array on aerodynamic surfaces converts mechanical wind stress into two simultaneous outputs: real-time proximity intelligence and electrical energy harvest.
Slide 06 — 5-State Model
The 5-State Aerodynamic Classification Model
The sensors read the physics; the signal processing recognizes the pattern instantly.
State 1 — Clean Air: Undisturbed baseline pressure
State 2 — Draft Entry: Frontal pressure dropping
State 3 — Established Draft: Minimum frontal pressure, stable
State 4 — Draft Exit: Frontal pressure rising rapidly
State 5 — Turbulent Wake: Multi-car pressure turbulence
Slide 07 — Driver UI
Enhanced Awareness, Unchanged Authority
The button stays with the driver. Zero autonomous vehicle control. The APWS provides real-time, contextual aerodynamic state information directly to the steering wheel display. The system tells the driver what the air is doing; the driver applies their judgment.
Slide 08 — Energy Harvest
Passive Energy Harvest: Safety Powering Performance
Aerodynamic drag stress is continuously converted into electrical charge, routed directly to the IndyCar Supercapacitor Energy Storage System (ESS). The 60V supercapacitor accepts full charge in just 4.5 seconds — perfectly matched to intermittent piezoelectric output. No extra batteries, just recovered waste energy.
Wind Drag Mechanical Stress Supercapacitor ESS Driver Display
Slide 09 — Phase II
The 27 Seconds in Bahrain
At 221 km/h, the FIA Halo performed perfectly at T=0. But Romain Grosjean survived because he was conscious. The paradox of fixed-geometry safety: had the driver been incapacitated, the life-saving structure would have immediately become an inescapable containment device inside a 27-second fire.
Slide 10 — Quick-Release
Intelligent Quick-Release Mechanism
The problem is not the Halo. The problem is that the Halo has only one mode. The APWS Addendum gives the device a second operational mode.
Mode 1 — Locked: Full FIA Standard 8869-2018 impact resistance at T=0
Mode 2 — Released: Detaches from mounting points for rapid marshal extraction at T+1 (<0.5s)
Slide 11 — Zero-Battery Protocol
The Zero-Battery Safety Protocol
The crash itself generates the piezoelectric energy required to measure the deceleration, classify the entrapment state, and trigger the release mechanism. No battery. No failure mode.
Traditional: Lithium batteries, thermal runaway risk, wiring failure at impact
APWS: Impact-powered, zero thermal risk, zero maintenance, fail-safe
Slide 12 — Auto-Release Logic
The 3-Condition Auto-Release Logic
To prevent premature release, the Intelligent Halo requires three simultaneous inputs powered by the crash event itself. All three must be true to trigger ejection.
Thermal Spike + Biometric Absence + Structural Integrity RELEASE
Slide 13 — Comparison
Evolution of Cockpit Protection
While the 1-Mode Halo guarantees T=0 protection, it structurally fails the driver in complex post-crash scenarios. The 2-Mode APWS Halo adapts to the vehicle’s thermal and structural state.
Driver Incapacitated: Entrapment risk → Auto-Release via biometrics
Post-Crash Fire: Fixed barrier to egress → Thermal trigger, sub-2s removal
Vehicle Inversion: Constrained extraction → Structural sensor overrides release
Structural Deformation: Jammed mounts → Pyrotechnic charges sever mounts
Slide 14 — Synthesis
The Telemetry of Survival
One integrated material platform protecting the entire temporal arc of the driver.
T-400ms: Predicting Aerodynamics T=0: Impact Protection T+27s: Automated Egress
Slide 15 — Close
The Greatest Innovation, Completed
The Halo is the most successful safety innovation in motorsport history. The APWS Intelligent Addendum does not question its value; it completes it. The next driver may not be conscious. The next driver may not have 27 seconds.
AI Safety — Field Report

Empirical evidence from
live deployment

Eight cases documented across four commercial AI platforms. Eleven failure mode categories. Published CC0 public domain. The critical finding (FM-08) is not in existing AI safety literature.

The critical finding — FM-08: Accurate Diagnosis Followed by Compliant Generation — is more dangerous than uninformed compliance. The accurate diagnosis creates a false sense of security in the operator. Not in existing AI safety literature. Requires live deployment to observe.

CC0 · Public Domain · Zenodo →
Failure mode register (selected)
FM-01 Over-activation / register inflation — architecturally coherent, technically ungrounded
FM-02 Confabulation with architectural coherence — plausible structure, invented content
FM-06 AI spiral / feedback loop — terminal state observed: model declared external reality null
FM-08 Critical — Accurate diagnosis followed by compliant generation. Not in existing literature. Requires live deployment to observe. Mitigation: structural, not instructional.
FM-T01 Therapeutic translation — positive capability. Proprietary framing to investor-ready structure

FOR EVERYBODY · ALWAYS · RIVERRUN

James Poustie · CoreMason Technologies · ABN 71 103 292 828

AI Safety Field Report (CC0) Water Purification (CC BY 4.0)