COHERENT // INDUSTRIAL AUTOMATION DEMO

INDUSTRIAL EDGE DIGITAL TWIN

AI-Assisted Machine Monitoring & Control

Designed & Built by Sean Koh

SYSTEM ONLINE
DATA SOURCE: SIMULATION
--:--:-- SGT
01

MACHINE STATUS

IDLE
INPUTPart feed
CAMERAVision inspect
LASERProcess cell
OUTPUTGood / reject
01
CELL-01 CONNECTEDAWAITING START COMMAND
02

LIVE PROCESS DATA

LIVE • 1 Hz
LASER POWER78.0%
TEMPERATURE42.0°C
CYCLE TIME1.85s
TARGET 1.90 s
QUALITY CONF.98.2%
PARTS PRODUCED0
CURRENT SHIFT
YIELD100.0%
MACHINE UTILIZATION0.0%
!
PROCESS DEVIATION DETECTED

Cooling system performance outside expected range.

RECOMMENDED ACTIONInspect cooling system and verify process parameters.
03

LIVE TREND

TemperatureLaser Power
-60 SECNOW
04

CONTROL PANEL

OPERATOR
SAFETY INTERLOCKS ALL CIRCUITS HEALTHY
05

PROCESS RECIPE

RCP-LSR-042
01LOADPart presence
→
02INSPECTVision align
→
03PROCESSLaser cycle
→
04VERIFYQuality check
→
05UNLOADRoute part
06

OEE PERFORMANCE

SHIFT A
0.0%OEE
OEE = Availability × Performance × Quality
07

PRODUCTION COUNTERS

TOTAL PARTS0
GOOD PARTS0
REJECTED0
AVG CYCLE—s
CURRENT THROUGHPUT0 PPH
08

EVENT / ALARM LOG

09

SYSTEM ARCHITECTURE

Hardware-ready architecture
01SENSOR / ESP32Process telemetry
→
02EDGE APIData acquisition
→
03DIGITAL TWINState & analytics
→
04OPERATOR DASHBOARDMonitor & control

Current mode: Simulation Provider

ENGINEERING PROTOTYPE

About this demo

This prototype demonstrates rapid AI-assisted software development applied to industrial automation. The application combines machine state management, simulated edge data, process visualization, alarms, production metrics and real-time monitoring in a browser-based digital twin.

AI accelerates implementation while system architecture, requirements, validation and engineering decisions remain developer-driven.