With the world’s best manufacturing and equipment Domain Knowledge, SFA has independently developed its own AI technology and has applied it to Smart Factory technology which can be categorised into the following two. First, 'NEO AI', an AI technology that can be applied to various industrial technologies such as image processing. Second, 'NEO Platform', a problem solver at manufacturing sites by collecting & analysing external data from sensors.
NEO Imaging is developed based on Machine Learning and Deep Learning algorithms, which are optimised for images and videos. It is an intelligent image processing & analysis solution that overcomes human limitations in image/video recognition & reading, and is capable of learning the features of defects by itself, interpreting the abnormalities of images/videos, and making self-judgement. There are a wide variety of applications including inspection and measurement, as well as image pre-processing and optimisation.
This is an optimal operation solution for transportation equipment to maximise the operation efficiency of various transportation equipment used in manufacturing sites. It provides optimal operation by analysing & predicting future congestion and estimated arrangements & operation methods of the vehicles, as well as route optimisation, obstacle dodging/detour, and autonomous driving functions. This optimal operation is first, cost effective by operating with the minimum vehicle in scale. Second, it improves logistics productivity by optimising the AI-based operating paths. Third, it predicts current & future environmental changes, therefore it is possible to prepare the optimal operating scenario in advance, enabling the realisation of smart manufacturing logistics.
This is a loading simulation solution with Deep Learning algorithm application optimised for 3D spatial area recognition to enable optimal space utilization through an optimal loading sequence when loading products on pallets. The weight and size of various products are considered when arranging the loading sequence and area to maximise loading stability and space efficiency.
This is a next generation Edge Computing System that collects and analyses a large amount of various data, generated from manufacturing equipment or systems in factories, with high speed and accuracy. The collected data is synchronised with Edge Device and enables real time visualisation to monitor the status of the manufacturing equipment or systems. It provides data status and analysis reports through big data and AI Machine Learning analysis. In addition, it can function as a basic platform that synchronises with NEO PdM and NEO Sense.
This solution rapidly processes large amount of data and AI failure prediction model based on high-performance big data processing engine. In addition, it not only provides specialised condition and trend management for each equipment and various auto diagnostic functions, but also provides lifecycle management of the parts and predictive maintenance. It prevents sudden downtimes by predicting failure time of equipment, to enable establishment of manufacturing environment that allows maximum productivity and efficient management.
This is a precise measurement & control solution for correction/improvement that measures fine data of process and equipment in real time. It supports various protocols (Serial, TCP/UDP, SECS/GEM, etc.) and provides high resolution data visualisation views. It also supports Proxy Relay method which enables remote checking of real time data.
