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The classification through specific characteristics is of great relevance for development of machine intelligence systems in order to improve decision making capability. Spite of the existence of several classifier algorithms, they all have its drawbacks and might not be suitable for a certain application. Within the supervised learning classifiers, the definition of some parameters is a common issue,...
Skills needed for critical manual welding operations typically require a long time to develop, and shortage of skilled welders has thus become an urgent issue the manufacturing industry is currently facing. This paper proposes an innovative augmented reality welder training system to help accelerate the training process of the unskilled welder. In this teleoperated system, unskilled welder perceives...
This paper presents the use of a training algorithm based on a Lyapunov function approach applied to a stator current controller based on a state variable description of the induction machine plus a reference model. The results obtained with the proposed controller are compared with a previously reported method based on a Nonlinear Auto-Regressive Moving Average with eXogenous inputs (NARMAX) description...
Sign language is the basic communication method between deaf people. A translator is usually needed when an ordinary person wants to communicate with a deaf one. This paper presents a system for sign language recognition of Mexican sign language to Spanish oral language. In sign language recognition, there are important challenges as to develop methods that solve signer-independent continuous sign...
There has long been a concern to improve the techniques of image processing for PCB's inspection. However, it is noticed the focus is mainly on the inspection of PCB in mass production. Even with a low volume of production, the small series production has become increasingly relevant. This work presents an image processing pipeline for mounted PCB inspection in small series production, strongly based...
With the wide application of batteries, the battery state of health (SOH) is increasingly concerned by people. The battery SOH reflects its ability to store charge and plays a key role in electric power systems. This paper proposes an adaptive neural fuzzy inference system (ANFIS) based method to estimate the battery SOH. The main steps of the proposed method include model creating, model training...
Automatic inspection of electronic components during the production of printed circuit boards is a way to ensure the quality of this production, reducing the cost of re-work. An automatic optical inspection system based on AI techniques for surface mounted devices is proposed in this work. The method relies on extracting the contour and histogram related features of component images, using Watershed...
Systems need to know the physical locations of objects and people to optimize user experience and solve logistical and security issues. Also, there is a growing demand for applications that need to locate individual assets for industrial automation. This work proposes an indoor positioning system (IPS) able to estimate the item-level location of stationary objects using off-the-shelf equipment. By...
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