AWARD WINNING AI 3D BIN PICKING SYSTEM
A NEXT GENERATION MANUFACTURING
AND RETAIL AUTOMATION SOLUTION
Solomon’s comprehensive material handling solution, AccuPick, is a powerful tool that excels at picking random or unknown objects. Even with overwhelming numbers of SKUs that are constantly changing, AccuPick is capable of picking and placing items efficiently regardless of their appearance, spatial location, or orientation.
Collision-Free Motion Planning
AccuPick features a superb recognition system with exceeding fast motion planning. Advanced algorithms are applied to calculate optimal robot paths that avoid collision and ensure reduced cycle time instantly.
Graphic-Based Interface
Our award-winning UI allows projects to be managed through intuitive drag-and-drop of preconfigured function blocks, making it easy to use for even automation beginners.
Highly Compatible Open Platform
The individual programming of major robot brands are incorporated into the software, so that setup and integration with AccuPick
is efficient and hassle-free.
SMART PICKING WITH 3D VISION
INTELLIGENT PICKING WITH
VISION ENABLED ROBOTS
Vision systems address the limitations of conventional robots essentially by granting them ‘eyes’ (vision), while AI acts as their ‘brain’ (intelligence). Equipped with such perception capabilities, robots can perform complex tasks that were previously impossible to automate in factories and warehouses.
Bin Picking
Pick-and-place a variety of objects and parts systematically irrespective of their position in the bin or required orientation.
Assembly
Identifies and locates objects without time-consuming optical system set-up.
Piece Picking
Locate and pick single items in random environments at a time. Ideal where a wide variety of lightweight SKUs need to be processed at high speed.
Sorting
Identically shaped objects that are tricky for conventional vision systems can be learned and categorized and learned using just a handful of image samples.
Multi-Robot Picking
Sometimes the real automation challenge is system coordination. AccuPick can master picking tasks while ensuring different robots
are in sync.
Kitting
With minimal to no training, AccuPick can automate kitting processes where parts are picked and bundled into a package with its own SKU.
AUTOMATED BIN PICKING
FOR RANDOM OR COMPLEX OBJECTS
Where traditional vision systems struggle, AccuPick uses AI image processing to overcome limitations relating to object shape, material or size.
Soft or deformable
objects
Complex patterns or backgrounds
Transparent or reflective objects
Small, thin objects up to
0.5mm
Overlapping objects
Irregular objects with
holes, protrusions etc
OPEN PLATFORM COMPATIBLE WITH OVER 20 ROBOT BRANDS
AccuPick 3D supports seamless connectivity with more than twenty robot brands and allows direct communications with many major PLC brands.
Specifications
| Module Name | SLM 3DRBP-0231C |
|---|---|
| 3D Technology | Structured light |
| Pixels | 2.3 M |
| Camera Resolution | 1920 x 1200 |
| Field of View ★★ | 285 x 195 ~ 1050 x 810 mm |
| Working Distance ★★ | 450 ~ 2000 mm |
| Spatial Resolution ★ | 0.24 ~ 2.6mm |
| Scanning Time (Minimum) | 0.3 Sec |
| Scanning Technology | Static |
| Projector Light Source | LED |
| Interface | USB 3.0 |
| Dimensions (L-W-H) | 363 x 202 x 120mm |
| External Power Adapter | Input : 100V AC ~ 240V AC / 50 ~ 60Hz Output : 12V DC / 8.5A, 102W |
| AccuPick Input | 12V DC / 7A |
| Weight | 3 kg |
| Operating Temperature | 0℃ – 40 ℃ (32 ℉ – 104 ℉) |
Hardware Requirements : Operating System Windows 10 (64 Bit) (RAM : minimum 16GB, recommended 32GB)
GPU: Nvidia GTX 1070 (recommended ≥8GB)
★★ Optional
★ The product is not applicable to the transparent objects or objects with over 50% light reflection rate.
| Module Name | SLM 3DRBP-0501C |
|---|---|
| 3D Technology | Structured light |
| Pixels | 5 M |
| Camera Resolution | 2590 x 2048 |
| Field of View ★★ | 295 x 220 ~ 1230 x 950 mm |
| Working Distance ★★ | 450 ~ 2000 mm |
| Spatial Resolution ★ | 0.15 ~ 1.8 mm |
| Scanning Time (Minimum) | 0.8 Sec |
| Scanning Technology | Static |
| Projector Light Source | LED |
| Interface | USB 3.0 |
| Dimensions (L-W-H) | 363 x 202 x 120mm |
| External Power Adapter | Input : 100V AC ~ 240V AC / 50 ~ 60Hz Output : 12V DC / 8.5A, 102W |
| AccuPick Input | 12V DC / 7A |
| Weight | 3 kg |
| Operating Temperature | 0 ℃ – 40 ℃ (32 ℉ – 104 ℉) |
Hardware Requirements : Operating System Windows 10 (64 Bit) (RAM : minimum 16GB, recommended 32GB)
GPU: Nvidia GTX 1070 (recommended ≥8GB)
★★ Optional
★ The product is not applicable to the transparent objects or objects with over 50% light reflection rate.
| Module Name | SLM 3DTFK-0100C |
|---|---|
| 3D Technology | Time of fly |
| Pixels | 2D : 12M, 3D : 0.37M |
| Camera Resolution | 2D : 4906 x 3072 3D : 640 x 576 |
| Field of View ★★ | 1000 x 890 ~ 3000 x 2500 mm |
| Working Distance ★★ | 700 ~ 2000 mm |
| Spatial Resolution ★ | 0.5 % ~ 2 % |
| Scanning Time (Minimum) | 0.033 Sec |
| Scanning Technology | Static |
| Projector Light Source | IR Laser |
| Interface | USB 3.1 |
| Dimensions (L-W-H) | 103 x 39 x 126 mm |
| External Power Adapter | 5V DC |
| AccuPick Input | 5V DC / 2.5 A |
| Weight | 0.44 kg |
| Operating Temperature | 10℃ – 25℃ |
Hardware Requirements : Operating System Windows 10 (64 Bit) (RAM : minimum 16GB, recommended 32GB)
GPU: Nvidia GTX 1070 (recommended ≥8GB)
★★ Optional
★ The product is not applicable to the transparent objects or objects with over 50% light reflection rate.
| Module Name | SLM SVRBP-0092C |
|---|---|
| 3D Technology | Active stereo vision |
| Pixels | 0.92 M |
| Camera Resolution | 1280 x 720 |
| Field of View ★★ | 520 x 330 ~ 1202 x730 mm |
| Working Distance ★★ | 450 ~ 1000 mm |
| Spatial Resolution ★ | ≤ 2% |
| Scanning Time (Minimum) | 0.033 Sec |
| Scanning Technology | Static |
| Projector Light Source | IR Laser |
| Interface | USB 3.0 |
| Dimensions (L-W-H) | 110 x 49 x 22 mm |
| External Power Adapter | USB 3.0 |
| AccuPick Input | USB 5V |
| Weight | 0.2 kg |
| Operating Temperature | 0℃- 40℃ (32 ℉ – 104 ℉) |
Hardware Requirements : Operating System Windows 10 (64 Bit) (RAM : minimum 16GB, recommended 32GB)
GPU: Nvidia GTX 1070 (recommended ≥8GB)
★★ Optional
★ The product is not applicable to the transparent objects or objects with over 50% light reflection rate.
3D Scanner Field of View (FOV）
unit:mm
