Mech-Mind IPC STD (Depalletizing, machine tending, CPU deep learning)
- Scenario:
- Standard de-palletizing and loading/unloading projects
- Deep learning projects with CPU inference: image classification, instance segmentation, object detection, defect detection (low-speed), fast positioning
- Description: ANK-XM811: CPU i5-12400 + 16G DDR4 + 512G SSD memory+ WIFI
- Configuration: CPU Intel i5-12400
- Dimensions: 230mm x 256 mm x 76 mm
- Certificates: CE（include UKCA）/FCC/VCCI/NRTL/ICES/KC
- With Mech-Mind LOGO: Yes
- Manual: Mech-Mind IPC STD User Manual
- 3D model download: Mech-Mind IPC STD.STEP
| Material Code | Model |
|---|---|
| 07180014 | IPCW-i5-16G-512G-EU |
| 07180028 | IPCW-i5-16G-512G-US |
| 07180027 | IPCW-i5-16G-512G-UK |
| 07180019 | IPCW-i5-16G-512G-JP |
| 07180029 | IPCW-i5-16G-512G-KR |
Mech-Mind IPC ADV (GPU deep learning)
- Scenario:
- Deep learning scenarios requiring GPU inference:
- AI contour segmentation (steel plate picking)
- Pick point recognition (including: arbitrary object sorting / express parcel supply / medicine box picking / cable grabbing)
- Using Mech-Vision Step “Predict Object Poses (Sim2Pick)” (workpiece locating and picking)
- Scenarios with performance requirements for deep learning:
- Defect detection projects (high-speed)
- Instances of single-time large-quantity segmentations (e.g., more than 80 masks in a single instance)
- Scenarios highly dependent on segmentation accuracy (e.g., directly calculating coordinates using masks, and masks inferred by CPU have jagged edges and lack accuracy)
- Scenarios requiring continuous display of 3D animations
- Deep learning scenarios requiring GPU inference:
- Description: RACK-360G + IMB-ADL-H610 + CPU i5-12400 + 16G DDR4+512G SSD + GTX 1660S + Windows system
- Configuration: CPU Intel i5-12400, GPU NVIDIA GTX 1660S 6G, 4U large chassis
- Dimensions: 484mm x 435.5mm x 176mm
- Certificates: CE（include UKCA）/FCC/VCCI/NRTL/ICES/KC
- With Mech-Mind LOGO: Yes
- Manual: Mech-Mind IPC ADV User Manual
- 3D model download: Mech-Mind IPC ADV & PRO.STEP
| Material Code | Model |
|---|---|
| 07180017 | IPCW-i5-16G-512G-1660S-CN |
| 07180021 | IPCW-i5-16G-512G-1660S-EU |
| 07180015 | IPCW-i5-16G-512G-1660S-US |
| 07180025 | IPCW-i5-16G-512G-1660S-UK |
| 07180023 | IPCW-i5-16G-512G-1660S-JP |
| 07180030 | IPCW-i5-16G-512G-1660S-KR |
Mech-Mind IPC PRO (GPU deep learning)
- Scenario:
- Deep learning model training
- Higher-demand GPU inference
- Description: RACK-360G+IMB-ADL-H610+CPU i5-12400 + 32G DDR4 + 256G SSD + 1T HDD+RTX 3060 + Windows system
- Configuration: CPU Intel i5-12400, GPU NVIDIA RTX 3060 12G; large memory and storage; 4U large chassis
- Dimensions: 484mm x 435.5mm x 176mm
- Certificates: CE（include UKCA）/FCC/VCCI/NRTL/ICES/KC
- With Mech-Mind LOGO: Yes
- Manual: Mech-Mind IPC PRO User Manual
- 3D model download: Mech-Mind IPC ADV & PRO.STEP
| Material Code | Model |
|---|---|
| 07180018 | IPCW-i5-32G-256G+1T-3060-CN |
| 07180016 | IPCW-i5-32G-256G+1T-3060-EU |
| 07180020 | IPCW-i5-32G-256G+1T-3060-US |
| 07180026 | IPCW-i5-32G-256G+1T-3060-UK |
| 07180022 | IPCW-i5-32G-256G+1T-3060-JP |
| 07180031 | IPCW-i5-32G-256G+1T-3060-KR |
Customization
Customization according to the project requirements, in terms of CPU, memory, graphics card, and hard drive, etc.
