Machine learning-based real-time monitoring system for smart connected worker to improve energy efficiency

Bian, Shijie; Li, Chen; Fu, Yongwei; Ren, Yutian; Wu, Tongzi; Li, G.P.; Li, Bingbing

doi:10.1016/j.jmsy.2021.08.009

Cited by 16 publications

(3 citation statements)

References 19 publications

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“…This research is also supported by Bian et al's research on the importance of Real-Time [11]. This paper presents the real-time monitoring system of manufacturing workflow…”

mentioning

confidence: 60%

Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards

Iskandar

Kesuma

2022

IJECS

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This research 0aims to design a Real-time ID card detection based on Optical Character Recognition (OCR). OCR detects and records information into CSV files using a camera. Hopefully, it can become one of the administrative solutions in Indonesia by using existing identity cards using OCR in real time. This research method was carried out independently in August 2021 using ID cards as objects. The tool involved was a 320x320 pixel webcam camera on an HP Intel Core i5 7th Gen notebook. The software used by Easy OCR was Pytorch-based. ID cards were detected using an algorithm by TensorFlow object detection with SSD MobileNet V2 FPNLite 320x320 as the pre-trained model of Tensorflow. The researchers collected ID card images using a webcam with various light conditions and orientations and label them using labeling. The researchers trained it with only 20 photos. After 3000 training steps, the researchers obtained about 0.17 loss and 0.95. Thus, the ID card detection tool using OCR runs well.

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“…This research is also supported by Bian et al's research on the importance of Real-Time [11]. This paper presents the real-time monitoring system of manufacturing workflow…”

mentioning

confidence: 60%

Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards

Iskandar

Kesuma

2022

IJECS

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“…Recent works have proposed to advance the processes of industrial production and supervision. Bian et al proposed and developed a centralized and automated real-time monitoring system, utilizing numerous machine learning-based techniques to reduce the cost of human labor and improve energy efficiency in smart manufacturing [1]. Peres et al deployed a framework called Intelligent Data Analysis and Real-Time Supervision for the manufacturing environment [2].…”

Section: Related Workmentioning

confidence: 99%

Affordable Artificial Intelligence-Assisted Machine Supervision System for the Small and Medium-Sized Manufacturers

Bian

et al. 2022

Sensors

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With the rapid concurrent advance of artificial intelligence (AI) and Internet of Things (IoT) technology, manufacturing environments are being upgraded or equipped with a smart and connected infrastructure that empowers workers and supervisors to optimize manufacturing workflow and processes for improved energy efficiency, equipment reliability, quality, safety, and productivity. This challenges capital cost and complexity for many small and medium-sized manufacturers (SMMs) who heavily rely on people to supervise manufacturing processes and facilities. This research aims to create an affordable, scalable, accessible, and portable (ASAP) solution to automate the supervision of manufacturing processes. The proposed approach seeks to reduce the cost and complexity of smart manufacturing deployment for SMMs through the deployment of consumer-grade electronics and a novel AI development methodology. The proposed system, AI-assisted Machine Supervision (AIMS), provides SMMs with two major subsystems: direct machine monitoring (DMM) and human-machine interaction monitoring (HIM). The AIMS system was evaluated and validated with a case study in 3D printing through the affordable AI accelerator solution of the vision processing unit (VPU).

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“…Recent works have proposed to advance the processes of industrial production and supervision. Bian et al proposed and developed a centralized and automated real-time monitoring system, utilizing numerous machine learning-based techniques to reduce the cost of human labor and improve energy efficiency in smart manufacturing [4]. Peres et al deployed a framework called Intelligent Data Analysis and Real-Time Supervision for the manufacturing environment [24].…”

Section: Introductionmentioning

confidence: 99%

Affordable Artificial Intelligence-assisted Machine Supervision System for the Small and Medium-sized Manufacturers

Bian

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

With the rapid concurrent advance of artificial intelligence (AI) and Internet of Things (IoT) technology, manufacturing environments are being upgraded or equipped with smart and connected infrastructure that empower workers and supervisors to optimize manufacturing workflow and processes for improved energy efficiency, equipment reliability, quality, safety, and productivity. For many small and medium-sized manufacturers (SMMs) who heavily rely on people to supervise manufacturing processes and facilities, this presents a challenge of capital cost and complexity. This research aims to create an affordable, scalable, accessible, and portable (ASAP) solution to automate supervision of manufacturing processes. The proposed approach seeks to reduce the cost and complexity of smart manufacturing deployment for SMMs through deployment of consumer grade electronics and novel AI development methodology. The proposed system, AI-assisted Machine Supervision (AIMS), provides SMMs with two major subsystems: direct machine monitoring (DMM), and human-machine interaction monitoring (HIM). The AIMS system was evaluated and validated with a case study in 3D printing through the affordable AI accelerator solution of the vision processing unit (VPU).

show abstract

Machine learning-based real-time monitoring system for smart connected worker to improve energy efficiency

Cited by 16 publications

References 19 publications

Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards

Designing a Real-Time-Based Optical Character Recognition to Detect ID Cards

Affordable Artificial Intelligence-Assisted Machine Supervision System for the Small and Medium-Sized Manufacturers

Affordable Artificial Intelligence-assisted Machine Supervision System for the Small and Medium-sized Manufacturers

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