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4 Common problems and solutions 4.1 Network Configuration 1. Are there any network requirements for using a GigE (Ethernet) camera? To use a GigE (Ethernet) camera, the network must be Gigabit or higher. Otherwise, insufficient bandwidth may cause issues with camera operation. As shown in the figure below, ensure the
3.5 Data Management 3.5.1 Device Management Go to the menu bar → Device → Device Management, or click Switch Camera. The shortcut button opens the Device Management pop-up window, where you can connect, disconnect, or switch cameras 3.5.2 Opening a file From the menu bar → File → Open File,
3.4 Parameter settings This section mainly introduces the components of parameter settings and how to adjust parameters to obtain ideal image data. Parameter settings are divided into five parts: Shooting Parameters, HDR Parameters, Post-Processing Parameters, Camera Functions, and Coordinate System Settings, which can be adjusted to improve point cloud capture
3.3 Shooting and Image Viewing 3.3.1 Quick Shooting RVCManager offers two shooting modes: single shot and continuous shot. Single shot: Captures a single image; click the button to start shooting. 3D single shot can capture a single point cloud, depth map, 2D image, and confidence map; 2D single shot captures

RVCManager Operation Instructions

Posted on June 20, 2025
3.1 RVCManager Interface Introduction The main interface of RVCManager consists of two parts: the Device Management Popup and the Main Operation Interface. Device Management Popup Launch RVCManager to enter the Device Management Popup. S# Region Function Description ① Equipment List Displays searchable camera names, serial numbers, and camera status. ②
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JTC Laser

JTC Laser

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Intelligent robot workstations, intelligent work islands, providing the entire process (cutting, assembly, welding, grinding, inspection, etc.) of intelligent applications for the non-standard metal structure manufacturing industry.

When selecting robotic welding systems and equipment, the real question isn't which one is objectively "best" – it's which solution fits your specific production scenario, team capabilities, and business goals. The right automatic welding robot for one manufacturer might be completely wrong for another, regardless of specifications or price.

Choosing a robotic welding system is not about finding the “best” machine on the market.

It is about finding the right solution for your real production needs.

Model import, reverse modeling, teach programming, drag teaching, 3D vision, seam tracking, AI welding — each method has its own advantages. The key is matching the technology with your workpieces, batch size, operator skills, and production workflow.

For batch production, model import and offline programming may be more efficient.
For small batches and frequently changing parts, reverse modeling and vision-guided systems can offer more flexibility.
For complex or confined welding areas, drag teaching may be more practical.

A good robotic welding system should not only weld well — it should also be stable, easy to operate, and suitable for the people who use it every day.

At JTC LASER, we believe the right welding automation solution should help manufacturers reduce labor pressure, improve welding consistency, and make production easier to manage.

Don’t just ask which robot is the most advanced.
Ask which one truly fits your factory.
lasermanufacture.com/how-to-choose-robot-systems-and-equipment-the-key-isnt-best-but-most-suitable/

#RoboticWelding #WeldingAutomation #WeldingRobot #IndustrialAutomation #JTCLASER #SmartManufacturing #RobotWelding
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Intelligent teaching-free and programming-free welding robots create value for leading local machinery enterprises.
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