Laser & Vision Powered Machining

Microchannel Lid
Edge AI Monitoring

High-speed micro-fabrication management driven by VAISense Phoenix. Our system utilizes synchronized laser profilers and high-resolution cameras for automated Edge AI model building and real-time inference.

VAISense
SENSING 2026

Edge AI Model Building

Laser Profiling Data

High-speed laser capture of channel depth and floor flatness for sub-micron dataset training.

Visual Vision Training

Camera-based detection of micro-fractures and chip occlusion for robust model inference.

Sensing Modalities

  • Optical Verification: Real-time camera feed analysis of micro-tool integrity.
  • Laser Displacement: Continuous monitoring of workpiece height and alignment.
  • Edge Synergy: Fusion of laser & visual data for 99.9% inspection accuracy.
Phoenix Hardware

EDGE Laser & Vision Machining Workflow

01
Dataset Acquisition

Laser & Camera sensors stream raw data for rapid on-site Edge AI model building.

02
Automated Labelling

Agentic AI classifies laser profiles and visual frames for training cycles.

03
Edge Model Deployment

Phoenix nodes push optimized models directly to the machining station.

04
Real-Time Metrology

Laser inference verifies channel depth (Z-axis) within sub-micron limits.

05
Vision-Based Audit

High-resolution cameras monitor chip clearance and surface finish quality.

06
Closed-Loop Adjustment

Edge AI triggers CNC feed-rate adjustments based on sensor feedback.

Integrated Sensor Suite

Blue-Light Lasers 4K Machine Vision Sub-ms Latency
Sensor Fusion

Unifying laser & vision data

Computational Vision

Dedicated AI Accelerators NPU-Optimized Models High-Throughput Inference
Edge Hardware Acceleration

Low-power, high-performance vision processing

Edge AI Infrastructure

On-Prem Training Sovereign Data Sensor-Agnostic
Phoenix Edge AI Nodes

Hardware-accelerated model building