MECH-MIND · CUSTOMER TRAINING
Standard Training
End-to-end onboarding for Mech-Mind 3D vision hardware, software, and deep learning — from first connection to a certified Mech-Mind junior practitioner
AUDIENCE
Integrators & End-users
DURATION
3.5 Days
CERTIFICATION
Test & Certificate
Learning Objectives
HARDWARE · MECH-EYE 3D CAMERAS
- Get to know the complete Mech-Mind hardware & software portfolio
- Select the right system for your application
- Configure connections, IP addresses, and firmware upgrades
- Obtain optimal 2D images & 3D point clouds
SOFTWARE · MECH-VISION & MECH-VIZ, MECH-DLK
- Build vision solutions from scratch and from existing templates
- Perform Automatic Hand-Eye Calibration
- Connect to robots via the Mech-Mind Standard Interface
- Debug and optimize solutions
Detailed Agenda
4 core units per day · 5–10 min breaks · 45 min lunch
Day 1
Ecosystem Introduction
Showroom tour, hardware & software portfolio, documentation
Mech-Eye Viewer
IP config, firmware, 2D & point cloud imaging
Hand-Eye Calibration
Principles plus ETH & EIH calibration routines
Solution Creation
Mech-Vision menus, elements, and basic data flow
Day 2
Project Lab 1 — Wooden Blocks
First vision program for a pick & place task with wooden blocks
Project Lab 1 — Wooden Blocks
Smart collision checking & path planning in deep bins
Robot Communication
Communication via standardized interfaces
Project Lab 2 — Rings
Vision program for ring detection
Day 3
Project Lab 2 — Rings
Smart path in bin, collision settings, plan history
Project Lab 3 — Shafts
Improve shafts detection with Deep Learning
Project Lab 4 — Depalletizing
Depalletizing of cardboard boxes
Intro to Mech-DLK
Dataset creation & model training (Instance Segmentation)
Day 4 Half Day
Diagnostics & QA
Optimization, troubleshooting, and open practice
Examination & Certification
30-question multiple-choice test and formal certificate handover
Each desk is equipped with a Mech-Eye NANO ULTRA-GL and a pre-configured notebook for software labs
Hands-On Projects
Pick & Place of Wooden Blocks
→
Bin-Picking of Rings
→
Shafts Detection
→
Depalletizing of Cardboard Boxes
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