RGB SCREENSHOT
SDQ LAB TXAI RESEARCH & DEVELOPMENT
Flagship industrial edge intelligence platform
I-EDGE
Physical AI for Industrial Inspection
RGB vision. Thermal intelligence. Sensor fusion.
Local edge AI built for real-world inspection.
LOCAL INFERENCE / RGB + THERMALSCANNING
RESIDENTIAL + COMMERCIAL INSPECTIONDEMO VIEW
RGB 01THERMAL 02SENSOR BUS
01 / CAPABILITIES
From physical signal
to inspection insight.
I-EDGE brings multimodal sensing, local edge inference, and evidence capture into a focused inspection workflow.
- 01SEE
RGB computer vision
- 02SENSE
Thermal + physical sensor inputs
- 03THINK
Local edge AI inference
- 04RECORD
Timestamped inspection evidence
- 05RESPOND
Operator decision support
02 / INTELLIGENCE MODULE
I-EDGE MODULE / TG-01
ThermalGuard
ThermalGuard analyzes thermal conditions and identifies deviations requiring inspection review.
It adds focused thermal-anomaly inspection to the I-EDGE platform while keeping the operator in the decision loop.
HIGHLOW
+
THERMAL FEED / SIMULATED
NORMALWithin review range
WATCHChange observed
ANOMALYReview recommended
CRITICALDeployment-defined state
Severity thresholds depend on the monitored asset, operating environment, sensor configuration, and validated deployment criteria.
03 / HACKFW LIVE DEMO
Pick One. Walk By.
Let I-EDGE Decide.
A participant selects one controlled thermal target without telling I-EDGE which one was chosen. The target passes through the inspection zone. I-EDGE evaluates RGB and thermal information locally and reports the detected thermal condition while preserving the inspection evidence.
FLIR SCREENSHOT
DETECTED CONDITIONROOM TEMP
RESULT DISPLAYREADY
EVIDENCECAPTURE ENABLED
04 / EDGE ARCHITECTURE
Intelligence at the point of inspection.
RGBCamera
+THERMALCamera
+PHYSICALSensors
LOCAL EDGE COMPUTEI-EDGENVIDIA Jetson Edge Compute
↓AI INSPECTIONDecision support
EVIDENCE RECORDInspection context
05 / WHY EDGE AI
Built close to
the physical world.
Local processing
Inference happens near the cameras and sensors used for inspection.
Lower cloud dependency
Keep core inspection analysis close to the point of work.
Fast feedback
Support timely review without unnecessary data round trips.
Data proximity
Sensitive imagery can remain near the inspection site.
Multimodal inputs
Work with physical sensors, RGB cameras, and thermal imaging.
Field-oriented
Designed for practical deployment in real inspection environments.
06 / APPLICATION AREAS
Where physical intelligence matters.
Industrial Manufacturing
Multimodal inspection support for equipment, processes, and production environments.
Data Center Infrastructure
Thermal and visual field intelligence for infrastructure inspection workflows.
Energy & Field Equipment
Evidence-based monitoring support for distributed physical assets.
Robotic Inspection
Edge intelligence for mobile and automated inspection platforms.
07 / PILOT PROGRAM
Interested in
Testing I-EDGE?
SDQ Lab TX is seeking appropriate pilot environments and evaluation partners for controlled industrial inspection testing.
PILOT INQUIRIESNOW ACCEPTING REQUESTS
Tell us about the inspection environment and the problem you want to evaluate. Please do not include confidential, employer-proprietary, or other sensitive information.
08 / ABOUT
SDQ Lab TX
SDQ Lab TX is an independent robotics and edge-AI lab developing practical physical-AI systems for inspection, sensing, robotics, and field intelligence.
09 / PRIVACY
Pilot inquiry privacy.
Pilot request information is used to review and respond to I-EDGE pilot inquiries. Form submissions are processed by FormSubmit and may be retained by that provider for up to 30 days. Do not submit confidential, employer-proprietary, export-controlled, payment, health, or other sensitive information through this form.