The KPS Inertial Intelligence Engine stack
The Sensory Layer: Sentinel v1 (Chassis-Locked)
The Sensory Layer: Sentinel v1 (Chassis-Locked)
The Sensory Layer: Sentinel v1 (Chassis-Locked)
Unlike "loose" sensors or hardware-agnostic software, the Engine utilizes a Rigid-Mount mandate. By locking the Sentinel v1 directly to the vehicle's metallic skeleton, the Engine ingests raw, unfiltered kinetic data at the sub-second edge. This ensures the signal is free from the mounting noise and aliasing artifacts that plague legacy 1
Unlike "loose" sensors or hardware-agnostic software, the Engine utilizes a Rigid-Mount mandate. By locking the Sentinel v1 directly to the vehicle's metallic skeleton, the Engine ingests raw, unfiltered kinetic data at the sub-second edge. This ensures the signal is free from the mounting noise and aliasing artifacts that plague legacy 1Hz GPS systems. At Kinetic Predict Systems, we started with the goal of providing the best products and services to our customers.
The Cognitive Layer: Physics-Informed ML (PIML)
The Sensory Layer: Sentinel v1 (Chassis-Locked)
The Sensory Layer: Sentinel v1 (Chassis-Locked)
The "Brain" of the engine is governed by the laws of classical mechanics. Unlike standard "Black Box" AI that looks for correlations in noisy data, KPS constraints its neural networks with physics. This ensures that the Engine's outputs are always actuarially defensible and physically grounded, eliminating the "hallucinations" and false positives common in legacy telematics.
The Discriminator: Kinetic Fingerprinting
The Sensory Layer: Sentinel v1 (Chassis-Locked)
The Discriminator: Kinetic Fingerprinting
This component performs proprietary harmonic isolation at the edge to differentiate between driver intent and mechanical artifacts. By identifying the unique vibrational signatures of motor cogging versus friction-based braking, the Engine captures the critical 200ms window of deceleration. This allows KPS to eliminate the "Regen Penalty"
This component performs proprietary harmonic isolation at the edge to differentiate between driver intent and mechanical artifacts. By identifying the unique vibrational signatures of motor cogging versus friction-based braking, the Engine captures the critical 200ms window of deceleration. This allows KPS to eliminate the "Regen Penalty" and provide a fair, physics-based risk profile for EV fleets.
The Efficiency Layer: Dynamic Power-Resolution Optimization
The Efficiency Layer: Dynamic Power-Resolution Optimization
The Efficiency Layer: Dynamic Power-Resolution Optimization
KPS utilizes a sophisticated state machine to manage power and data consumption without sacrificing fidelity.
- Ultra-Low Power Sentry: Monitors for kinetic wake events.
- High-Definition Streaming: Provides ultra-high-resolution telemetry for cloud auditing.
- Intelligent Edge Burst: Captures high-fidelity data for sub-second event reconstruction.
The Analytical Layer: Environmental Resistance Compensation
The Efficiency Layer: Dynamic Power-Resolution Optimization
The Efficiency Layer: Dynamic Power-Resolution Optimization
The Engine dynamically solves for unknown variables in the physics equation to provide high-value business insights:
- Dynamic Payload Auditing: Measuring the energy required to overcome inertia during acceleration, allowing for real-time weight verification without scales.
- Resonance-Based Health Monitoring: Monitoring shifts in the vehicle’s
The Engine dynamically solves for unknown variables in the physics equation to provide high-value business insights:
- Dynamic Payload Auditing: Measuring the energy required to overcome inertia during acceleration, allowing for real-time weight verification without scales.
- Resonance-Based Health Monitoring: Monitoring shifts in the vehicle’s harmonic resonance over time to detect tire under-inflation or mechanical fatigue without external sensors.