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[Industry Trends] The key to factory automation is '3D robot vision'...Pickit enhances efficiency and flexibility with 3D vision |
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The key to factory automation is '3D robot vision'...
Pickit enhances efficiency and flexibility with 3D vision In the era of the Fourth Industrial
Revolution, automation technology is being integrated into various industrial
fields. The core of factory automation lies in '3D robot vision,' responsible
for the eyes of robots. Robots, through 3D vision sensors, can perform tasks
accurately and quickly, much like humans. Pickit's 3D vision enhances the
efficiency and flexibility of the manufacturing process. As a leading example
of manufacturing intelligence, this introduces Pickit Korea's 3D robot vision
solution for bin picking and automation. Pickit
aids in building robot automation through 3D vision Pickit is a company that originated from
Intermodalics, a robotic software company, and specializes in developing 3D vision
for 'the eyes of robots.’ Pickit focuses on developing solutions for
manufacturing processes in the industrial automation market, particularly in
areas such as bin picking, assembly, and robot guidance. They offer a variety
of solutions, with user-friendly 3D robot vision at the forefront, emphasizing
easy-to-use solutions without the need for coding. Pickit’s 3D cameras are structured light
cameras with a high level of accuracy. They offer SD and HD resolution cameras,
and each product is capable of both fixed and robot mounting. Pickit’s software
integration platform, which does not require coding, includes built-in tools
for remote and cloud support, providing a customer-friendly experience. Furthermore, customized development is
possible to add specific features to applications, maximize user environments,
and build a customized UI compatible with operating systems. What
is 3D robot vision?
3D robot vision operates based on the
principles of 3D vision software, 3D vision cameras, robots, and calibration.
Through a high-precision robot camera calibration engine, Pickit can represent
objects in a common 3D coordinate system with the connected robot. The robot
can move directly to the received pose from Pickit without additional
calculations, simplifying and easing the robot programming process. Application 1. Bin-picking Solution Pickit’s 3D vision applications include 3D
bin-picking, 3D robot guidance, 3D assembly, and 3D palletizing. Bin picking is the task of sequentially
picking up randomly stacked objects and moving them to a specified location.
Pickit's bin picking engine uses a 3D camera mounted on a fixed structure or
robot to detect the 3D pose of objects. It then moves the robot's TCP (Tool
Center Point) to the calibrated position based on the detected object's
location. Bin picking with 3D vision enables the picking of randomly loaded
products, improving the work environment by accomplishing tasks that
traditional robots couldn't handle. Bin picking solutions minimize mechanical
devices, saving space, and eliminating the risk associated with the operation. The bin picking solution not only provides
the coordinates of the object's position but also verifies the possibility of
collisions before providing the coordinates. Confirming the absence of
collisions is essential for practical bin picking to ensure its feasibility. Application 2. Robot Guidance Solution When a robot needs to use the picked
information for a specific coordinate consistently, it undergoes robot
guidance. If the position of the target object changes, the guidance involves
capturing the modified information through vision, refreshing the coordinates,
and setting up the robot to follow the taught information. Even when the field
of view (FOV) of the 3D vision is insufficient, robot guidance allows for
accurate positioning by predicting the entire model based on critical parts of
the target object. Robot guidance, as an application module of Pickit, is
versatile and can be applied in various ways to overcome hardware limitations. The primary reason for using 3D vision is
that the target product cannot always be aligned in a fixed position. Since the
position varies each time, the use of the robot's eyes, 3D vision, helps the
robot adjust its picking point to match the product, regardless of whether it
is in a fixed position or not. Application 3. Assembly The assembly stage involves using vision to
locate and align parts, allowing the robot to reach its final position. Using
the detected positions of two objects (P1, P2), the robot (flange) motion is
calculated to fit one component to the fixed relative part. Since the relative
pose between P1 and the robot flange is directly detected, flange offset or
robot TCP errors can be automatically compensated in the calculated fit-up
motion of the robot flange. Application 4. De-palletizing Pickit's de-palletizing solution is
equipped with the high-efficiency de-palletization engine 'DeepAL,' capable of
handling non-mixed products such as boxes, buckets, boxes, and tote bags. It can detect components arranged in
various patterns, irrespective of color patterns, and is stable in changing
lighting conditions, including movement or tilting. The solution is easy to
deploy, user-friendly, and seamlessly integrates with existing processes. With
3D robot vision, workers can focus on high-value tasks while the de-palletizing
process is handled. The application UI of Pickit's solution is
designed with an intuitive interface to maximize user convenience, and
customization of the UI is also possible. Pickit:
The optimal choice for robot automation
The declining industrial workforce due to
low birth rates and an aging society has led to the automation of manufacturing
through robots. Pickit's 3D vision solution aids in the implementation of smart
automation without the need for teaching in robot automation. By utilizing
Pickit's solution, customers can enjoy benefits such as minimized use of space,
reduced downtime, easy maintenance, and minimized engineering costs. The key to factory automation is '3D robot vision'...Pickit enhances efficiency and flexibility with 3D vision (hellot.net) |
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