3D VISION g
per cent in-process measurement of complex surfaces on a wide variety of mould segments. Te moulds are precision machined from aluminium and vary in size – a general nominal size, for example, is about 12 x 6 x 2 inches, explained David Dechow, principal vision systems architect at Integro, who worked on the project. Currently, specific mould segment
features are inspected off line using manual contact measurement tools at a part sample rate of about 20 per cent of the total, Dechow continues. Te process requires measurement of the features in 3D. In addition to being a slow process, the existing manual inspection is not able to achieve all the required measurements. Te task is made more challenging with the tight measurement tolerances required, in some cases as little as +/- 0.001 inches. Dechow explains that because of the
height and spacing of the 3D mould features, automated 3D imaging systems cannot extract the surfaces that must be measured. ‘In particular, features at the bottom surface of the mould are easily obscured by the vertical height of adjacent features when technologies such as laser triangulation profilometry are used,’ he says. ‘To achieve multiple angles of imaging, a single or even an opposed profilometry device would have to be scanned across the part surface at multiple angles. Furthermore, the scanning of the entire part at high resolution is time consuming, especially when only specific sections of the part are of interest for measurement.’ Te Saccade-MD system is able to
perform static scanning of a single field of view from multiple angles and with variable resolution. Te unit can be attached to a robot arm and moved to specific areas of interest on the mould. Without further motion, the system can scan from appropriate angles to overcome 3D dropouts that happen when features are obscured, Dechow says. Te system is also able to image at
variable resolutions within each scan, so that the density of data is higher only in the areas of interest, Dechow continues, and the overall size of the point cloud for that view is much smaller than would be produced if all of the scan were at high resolution. ‘In execution, the robot would have motion programs for each part type to carry the Saccade-MD to the required views for a given part, and the Saccade-MD would have an imaging configuration for each view on each part,’ Dechow says. ‘Once images are acquired, standard 3D measurement tools and techniques can be employed to implement the required measurements in each view.’ Dechow notes the point clouds will
‘When picking a flat component, say a few millimetres thick [at the bottom of a bin] – if you don’t have multispectral I don’t think it’s easy’
initially have to be downloaded manually and the measurements run separately, but that the process can be automated with further work. He says, however, that even taking this into consideration, ‘throughput will still meet the customer requirements and allow 100 per cent of the product to be measured.’ Shulman says Saccade Vision is targeting
discrete manufacturing at the moment, such as plastic injection moulding, extrusion moulding, metal forming, CNC or die casting. All these operations don’t have a conveyor, and the part needs to be scanned stationary. ‘In theory we can add scanning in motion, because we have everything needed for that,’ Shulman says. ‘But we are currently not investing in that; it is possible, but it’s not our focus at the moment.’ Shulman adds that Saccade Vision’s
technology’s strength lies in its ability to deliver micrometre precision. He says the firm is not targeting bin picking, but is looking at precise pick-and-place applications, requiring 3D position accuracy of 100µm or less in precision manufacturing. ‘We’re focusing on metrology for discrete
manufacturing and process analytics,’ Shulman says. ‘Industry 4.0 is data-driven manufacturing. However, data collection today, at least in discrete manufacturing, is
22 IMAGING AND MACHINE VISION EUROPE AUGUST/SEPTEMBER 2021
Saccade Vision’s system uses a MEMS- based laser illumination module that can scan in multiple directions, in a setup using one to four cameras
mainly done by indirect correlated sensors – measuring vibration, acoustics, temperature – and predicting machine health or making process control measurements based on that. Direct measurements, such as from our 3D scanner, have much better fidelity and provide a better basis for decision making. ‘Solid-state MEMS lidar has brought cost
reduction, higher speed and higher quality scanning than the older galvo-based lidars could provide,’ he adds. ‘We want to do the same for triangulation in manufacturing.’ Saccade Vision plans to release a commercial product in the first half of 2022. It is also working on an inspection setup guided directly from a CAD model of the part.
Spectral speed Tridimeo, on the other hand, does consider bin picking, pick-and-place and robot guidance in general within the scope of its 3D technology, alongside quality inspection. Tridimeo was founded early in 2017 as a spin-off from the French research institute, CEA. Te company designs and produces high-speed and multispectral 3D cameras and develops vision software. ‘It’s a new way of performing 3D imaging,’
said David Partouche, co-founder and chief executive of Tridimeo. ‘Tridimeo is the only provider of high-speed multispectral 3D cameras in the world to our knowledge. All our vision solutions display both 3D imaging and multispectral imaging capabilities that are not accessible to other regular 3D imaging technologies.’ Te technology was invented in 2014,
primarily by Rémi Michel. Te company’s 3D scanner, which uses a white LED and a complex optical system to encode the
@imveurope |
www.imveurope.com
Saccade Vision
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44
