Undoubtedly, 3D vision proves its versatility in tackling complex challenges across a range of robotic applications. Whether it's the intricacies of random bin picking, the speed needed for piece picking, or the precision essential in assembly tasks, 3D vision stands as an unparalleled solution for both speed and accuracy. Yet, the inherent complexity of 3D vision cannot be ignored. Setting up a 3D system involves delving into complex parameters, a process once reserved for seasoned experts, posing challenges for users seeking a more straightforward approach. At Mech-Mind, we believe configuring a 3D vision system should not be overly challenging. To simplify the process and make 3D vision configuration user-friendly, we've introduced the Built-in Parameter Groups. This function systematically streamlines the inherent complexity of configuring 3D vision systems. GET A QUOTE What are parameter groups?
A parameter group refers to a predefined configuration tailored for specific application scenarios. These built-in parameter groups simplify and streamline the setup process, providing an efficient way to configure the 3D vision system for typical applications. With the Built-in Parameter Groups, even users new to or not experts in 3D vision can quickly start their 3D vision applications. The function only requires users to fine-tune a few parameters, ensuring precise alignment with each application's unique demands. How built-in parameter groups work
To manage your 3D projects easily, the parameter groups are organized into different categories based on object characteristics: · Reflective metal · Unreflective metal · Reflective + unreflective · Small workpiece · Translucent object · Carton · Sack · Plastic turnover box · …… In addition, different Mech-Eye 3D cameras contain different parameter groups, better catering to their 3D application scenarios. For example, the Mech-Eye PRO M industrial 3D camera, designed to manage piece picking and metal parts picking scenarios, contains parameter groups as follows: 
To get a deeper dive into the suitable scenarios for each model at https://docs.mech-mind.net/en/eye-3d-camera/latest/extended-reading/built-in-parameter-groups.html The parameter configuration interface is easy to understand and intuitive to use. You can follow a 2-step process to get started on your 3D project. 1. Select the parameter group 2. Fine-tune the parameters 
Quick start on your 3D project
Different industries and manufacturing processes have diverse requirements for point cloud quality and image acquisition speed. Here are some commonly used parameter groups: 1. Parameter group: reflective metal Reflective metal is for scenarios with highly reflective metal parts. In manufacturing, parts usually come in various materials, sizes, and shapes. One of the most challenging scenarios is that parts are highly reflective and organized in a deep bin. In the bin picking of reflective metal parts, point clouds' completeness and fine details are crucial. These factors determine whether the robot can perform a successful pick. Supported Mech-Eye industrial 3D cameras: · Mech-Eye PRO S · Mech-Eye PRO M · Mech-Eye LSR L 
Dark and reflective objects (view in 3D) Point cloud obtained by Mech-Eye PRO S 
Highly reflective metal parts (view in 3D) Point cloud obtained by Mech-Eye PRO M 
Various highly reflective metal parts (view in 3D) Point cloud obtained by Mech-Eye LSR L 2. Parameter group: translucent object In piece picking scenarios, efficiency is often the priority. Here, the image processing speed is second to no one. However, the point cloud quality must also be considered when it comes to very challenging objects, such as translucent objects. Supported Mech-Eye industrial 3D cameras: · Mech-Eye PRO S · Mech-Eye PRO M 
Collection of transparent medical items (view in 3D) Point cloud obtained by Mech-Eye PRO S 3. Parameter groups: sack & large carton & plastic turnover box Depalletizing, a common task in manufacturing, distribution, and e-commerce fulfillment operations, often involves dealing with large piles of cartons, sacks, and turnover boxes. The challenge here is twofold. Firstly, the 3D camera needs a wide view to handle tall stacks of items. Secondly, the objects vary in textures and sizes, such as patterned sacks and cartons with reflective tape. Unlike tasks prioritizing speed, depalletizing doesn't need to be super fast. What matters most is getting complete and accurate 3D point clouds and knowing the exact depth. This ensures that the handling of different items is precise and reliable. Supported Mech-Eye industrial 3D camera: · Mech-Eye DEEP 
Colored cartons (view in 3D) Point cloud obtained by Mech-Eye DEEP Based on the parameter group, you can further set the exposure mode, time, and sequence and edit the ROI and other parameters to get the optimal results of your 3D data. You can learn more details about the parameter configuration of each model at the Parameter Reference Guide (mech-mind.net)
To wrap up
Whether navigating challenges in random bin picking, executing high-speed piece picking, or achieving precision in assembly tasks, 3D vision stands as an unrivaled solution for both speed and accuracy. Recognizing the inherent complexity of 3D vision, Mech-Mind has introduced Built-in Parameter Groups to streamline the process, making configuring a 3D vision system more accessible and intuitive. Mech-Mind is committed to designing the most versatile and easy-to-use AI + 3D vision tools. Our comprehensive product portfolio includes plug-and-play industrial 3D sensors and self-developed AI software suites. Trusted in challenging applications, Mech-Mind has deployed over 10,000 industrial 3D cameras worldwide. Excited to share more applications and insights derived from our cutting-edge AI + 3D vision technology, Mech-Mind invites you to explore further. For consultation, contact us at info@mech-mind.net or marketing@mech-mind.net. |