Technical Research & Engineering

GLOBAL INTENT COMPANY

Interactive technical environment for machine learning, scientific instrumentation, computational systems, experiments, and project evidence.

Developed independently by founder and researcher Cory Tortorici. Source code, controlled experiments, null results, architectural iterations, and public research logs are made inspectable across all project nodes.

Source Repositories

Laboratory Chronology

LATEST FROM THE LAB

Recent empirical findings, architectural iterations, and null results surfaced directly from active research logs.

Active laboratory research log entries with timestamped records are available in the full research log.

Interactive Spatial Knowledge Graph

EXPLORE THE RESEARCH

Navigate the connected network of research projects, architectural pipelines, and domain clusters in real-time 3D.

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Tier:

Focused on Virtual Lab Mobile / Sensor Node • Orbiting sub-nodes active

Domains:

SPATIAL FOCUS:Virtual Lab Mobile / Sensor Node•Virtual Lab

GitHub

Virtual LabKind: engineeringActive Development / Public Repository[SENSOR-NODE-MOBILE]

Virtual Lab Mobile / Sensor Node

GI-Company/virtual-lab-mobile

Edge acquisition system and mobile scientific instrumentation codebase investigating how commodity sensing hardware can participate in structured, attributable scientific acquisition.

Engineering Objective:Transform mobile hardware (cameras, IMUs, RF radios) into calibrated scientific acquisition instruments that strictly preserve the epistemological distinction between raw observation, calibrated measurement, and algorithmic inference.

Structural Overview

Built in Kotlin targeting Android 14 (API 34). Operates as an edge acquisition node acquiring multi-sensor streams under an Android Foreground Service (AcquisitionForegroundService). Integrates Camera2 API with remote focus/exposure controls over WebSockets, sub-meter Wi-Fi RTT (802.11mc) ranging, and 100 Hz calibrated IMU/magnetometer sampling, enforcing the universal threefold classification: ● OBSERVED (direct raw pixel/sensor reading), ◆ MEASURED (calibrated calculation), and ▲ INFERRED (model-derived prediction).

Canonical Source Artifact

GitHub Repository

Primary Source CodePublic

GI-Company /virtual-lab-mobile

Canonical public source repository for the Virtual Lab Mobile edge scientific acquisition system.

Canonical GI-Company Source

VIEW SOURCE

Design Invariants & Principles

[1]The Epistemological Triad: Strictly separate observed physical readings from calibrated measurements and model inferences.

[2]Deterministic Sampling: Monotonic clock-synchronized sampling across camera frames, IMU bursts, and Wi-Fi RTT sweeps.

[3]Continuous Edge Acquisition: Uninterrupted sensor streams maintained via Android foreground services with persistent notifications.

[4]Remote Instrument Control: Real-time telemetry and camera adjustments commanded bidirectionally over WebSockets.

Sequential Pipeline & Processing Stages

Camera SensorOptical Ingestion

Raw pixel frames, focal calibration, exposure duration, and sensor temperature.

IMU & AccelerometerInertial Tracking

6-DoF angular velocity, linear acceleration, and magnetometer heading at 100 Hz.

RF & Wi-Fi SnifferElectromagnetic Field Sampling

Access point BSSID, RSSI power readings, frequency channels, and link noise.

Device Context & ClockEnvironmental Anchoring

Monotonic clock drift compensation, battery thermal profile, and sensor geometry.

Technology Stack

Kotlin (Android SDK API 34)Camera2 API (Manual ISO / Focus / Shutter)Android Foreground Services (AcquisitionForegroundService)WebSocket Protocol (Real-Time Frame Streaming & Control)Wi-Fi RTT (802.11mc FTM Ranging)SensorManager (100 Hz Accelerometer / Gyro / Magnetometer)