Overview

The DLIR-XZ3D Intelligent 3D Vision Application Workstation addresses the real-world business needs of robots in industrial scenarios, utilizing intelligent... 3D Based on camera-based perception technology and integrated with industrial robot motion planning technology, the system uses vision to detect objects to be sorted to obtain their pose information. This information is used to complete tasks such as sorting scattered materials, measuring dimensions, detecting defects, and locating objects. The workstation mainly consists of a workbench, a collaborative robot, a robot quick-change fixture module, and intelligent... 3D It consists of a camera system and software, a material box, a computer and desks, an oil-free silent air pump, tools and toolboxes, teaching resources, etc.

Characteristics

• Integrated modular structure: Each execution object is an independent module, all installed on a general-purpose aluminum profile platform, where each execution object and electrical control circuit are constructed. No tools are required for disassembly and assembly during training, and the robot's range of motion can simultaneously meet the needs of all training content.

• Open design: It has excellent extensibility, allowing customers to develop new models and fixtures according to their own needs, while also supporting secondary development of peripheral systems.

• Equipment operation safety: It has multiple protections including short circuit, overload, and emergency stop.

Technical Parameters

• Temperature: -5 to +45°; Ambient humidity: ≤85% (25°C).

• Equipment dimensions: Length × Width × Height = 1.1 m × 1 m × 1.9 m

• Total power: Approximately 3.0 KVA.

• Altitude: ≤4000m.

• Input power: AC220V±10%.

• Output power: DC24V.

• Environment: Vibration ≤0.5G, free from dust, corrosive gases, flammable gases, oil mist, water vapor, dripping water or salt, etc.

• The system is reliably grounded: the grounding impedance is less than 4 ohms.

• Compressed air pressure: 0.3-0.7MPa.

• Cooling method: Natural cooling.

Fulfillable Assessment Design Tasks

Section 1: Robot Training

1) collaborative robots

2) Installation of collaborative robot teach pendant

3) Installation of end-effectors for collaborative robots

4) Setting parameters for collaborative robots

5) Practical training on collaborative robot operation modes and manual speed

6) Viewing frequently used information about collaborative robots

7) Introduction to Collaborative Robot Programming Instructions

8) Backup and restore of collaborative robot programs

9) Practical training on coordinate system calibration for collaborative robots

10) Collaborative robot fault diagnosis and maintenance

Section 2. Industrial Camera Assembly and Adjustment

11) Selection of 2D industrial cameras, lenses, and light sources

12) Installation and debugging of 2D industrial cameras

13) Installation and debugging of the light source

14) 3D Camera Installation and Debugging, Section 

3 : Equipment Communication Application Training

Section 4. Dataset Creation

15) Data collection

16) Data labeling

17) Data cleaning

Section 5. Target model training

18) Deployment and application of deep learning frameworks

19) Visual recognition model training

Section 6. 2D camera measurement

20) Color recognition of target objects

21) Target object type identification

22) Character recognition of target objects

23) Barcode recognition of target objects

24) Distance measurement of target objects

25) Diameter measurement of the target object

Section 7. 3D camera training

26) 3D camera equipment debugging

27) 3D camera image debugging

28) 3D camera algorithm parameter settings

29) 3D camera object detection