Auto parts manufacturing faces problems including parts' reflective surfaces, different sizes, materials, and colors. Overlapping parts, deformed bins, and bright ambient light also bring challenges to vision recognition and require high accuracy.
Besides collision-free pick and place, Thadorobot' 3D vision solutions also feature high efficiency and operational flexibility. Both the emptying rate and the accuracy of Thadorobot' solutions are over 99.9%.
A well-known international automotive supplier
• The customer requires automated feeding of billets with 3D vision
• Billets of various types are reflective and randomly piled in bins
• These billets need placing in a certain orientation for the next step
Our solutions
• Use GX-L camera mounted on a slide guide
• Calculate the trajectory automatically to handle billets vertically placed or in corners, thus achieving a high emptying rate
• Ensure stable and collision-free picking from non-standard bins
A large automotive OES
• Requires automated machine tending of brake calipers with 3D vision
• Calipers are irregular castings piled in layers, interlocked, slightly tilted
• The caliper's front is similar to its back, so the vision system needs to recognize each caliper's side before picking it
Our solutions
• Use GX-L camera and SP-L camera mounted on slide guides for parts feeding and unloading respectively
• The system will generate collision-free trajectory automatically to solve the problem of picking from the corner
• The gripper switcher helps to pick pallets and different calipers
A well-known international automotive supplier
• Automated feeding of flanges to sand-blasting machines with 3D vision
• Flanges are 5-mm-thick, platelike, and multihole parts orderly piled in bins
• The high-speed operation of the machine tool requires a high throughput
Our solutions
• Use GX-L camera with a high precision of ±2 mm
• A high throughput helps maximize the customer's productivity benefits: recognize in 3 s/piece, pick and place in 5 s/piece:
• Accurately recognize 5-mm-thick flanges for a high emptying rate
A well-known international automotive supplier
• Automated loading of wheel hubs onto racks with 3D vision
• Wheel hubs are round, multihole, and reflective. They are piled in bins layer by layer and separated by anti-rust papers
• Plastic wraps on bins' sides interfere with the vision recognition
Our solutions
• Use GX-L camera mounted on a slide guide
• The system accurately recognizes, picks, and places wheel hubs against the interference of plastic wraps
• Rapidly register changing parts for flexible manufacturing
A large automotive supplier
• Automated machine tending of flywheel shells with 3D vision
• Flywheel shells are alumina alloy castings with complex structures. They are piled in bins layer by layer and slightly tilted
• Laser marking on flywheel shells should be highly accurate
Our solutions
• SP-L camera guides the pick and place to achieve a 100% emptying rate
• Localize parts with a ±1 mm precision for the following laser-marking
• Our vision system scans the placement area, then guides the collision-free and accurate unloading of flywheel shells
A leading bearing company
• Automated feeding of bearing rings with the guide of 3D vision
• Bearing rings are toroidal, reflective, and thin-walled parts piled in bins
• High-speed operation of the machine tool requires a high throughput
Our solutions
• Use AL camera to resist the interference of reflective surfaces
• A high throughput: recognize in 1.7 s/piece, pick and place in 6 s/piece
• Our vision system supports the collision-free picking of bearing rings randomly piled in bins
A large automotive supplier
• Automated depalletizing and palletizing of half shafts with 3D vision for grinding and quality inspection
• Half shafts piled in open-framed bins are 40 Cr and of various types
• The customer requires a high emptying rate and loading rate during depalletizing and palletizing
Our solutions
• Use eye-in-hand GX-L structured light camera
• Recognize the 3D poses of bins and half shafts accurately to achieve collision-free picking and a high emptying rate
• Based on collision inspection by point clouds, the system calculates the optimal placement automatically to handle changing pallet patterns and open-framed bins, thus achieving efficient palletizing
A listed automotive supplier
• Automated feeding and assembly of engine covers with 3D vision
• Engine covers are plastic, black, slightly reflective, and complex-shaped
• The robots need to pick the parts from a conveyor and place them on the ultrasonic machine for welding
Our solutions
• Use SP-L camera with a precision of ±2 mm
• A high throughput: vision recognition in 3 s/piece
• Our system will operate stably 24 hours a day at a low cost
A well-known international automotive supplier
• Automated feeding of control arms with 3D vision
• 9 types of control arms made of aluminum alloy and are highly reflective
• The robots need to pick the parts from a conveyor and place them on the machine for the next step
Our solutions
• Use GX-M camera fixedly mounted
• The system with high XY precision of ±3 mm and Z repeatability of ±1 mm can localize highly reflective control arms effectively
• The system supports quick model registration and switch of new parts, grippers, and picking modes to achieve flexible production
A well-known international automotive supplier
• The customer requires automated feeding of spherical-hinge bases with 3D vision for the following assembly and machining
• There are 2 types of spherical-hinge bases made of carbon steel, and they are orderly piled in bins
Our solutions
• Use GX-M camera fixedly mounted
• Recognize ≥ 99.9% reflective parts with a high Z repeatability of ±1.5 mm
• Stable and efficient operation with vision recognition in 3 s/piece
A well-known international automotive supplier
• The customer requires automated inspection of sheet metal housings and spherical-hinge bases with 3D vision for the following assembly
• There are 3 types of parts made of carbon steel
• Inspection: flaws of screw threads, rubber rings (grease inspection), and seals; the location of three small screws; the mounting of screws
Our solutions
• Inspection of a single workstation ≤ 2.5 s, vision capture ≤ 0.5 s
• Achieve a high inspection precision of 0.5 mm and an over 98% success rate with the deep learning algorithms
A large automotive supplier
• The customer requires automated machine tending of crankcases with 3D vision for ceramic casting and phosphating
• There are 2 types of crankcases with complex structures, and they will be reflective after processing
• Unprocessed and processed parts are mixedly transported to workstations
Our solutions
• The camera helps to resist the interference of reflective surfaces, ensure stable pick and place, and achieve a 100% emptying rate
• Localize the part with a ±0.5 mm precision for the following laser-marking
• The vision system scans the placement area, then guides the collision-free and accurate unloading of crankcases
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