Adapting Raspberry Pi to Miniaturized Safety Systems for Industry 4.0 Control Applications

2018 ◽  
Author(s):  
Sebastian Domes ◽  
Johannes Klos ◽  
Ali Hayek ◽  
Josef Borcsok
Keyword(s):  
Industry 4.0 ◽  
Raspberry Pi ◽  
Control Applications ◽  
Safety Systems

scholarly journals Reconstruction of a Grinding Machine Intended for Thermo-Polymers, and Design of a Linux Based Iot Control System

2020 ◽  
Vol 13 (1) ◽  
pp. 45-49
Author(s):  
Attila Debreceni ◽  
Timotei István Erdei ◽  
Szabolcs Tóth ◽  
Géza Husi
Keyword(s):  
Control System ◽  
Remote Control ◽  
Related Problem ◽  
Industry 4.0 ◽  
Raspberry Pi ◽  
Support Material ◽  
Type B ◽  
Polymer Waste ◽  
Grinding Machine ◽  
The University

AbstractWith the increasing use of 3D printing technology, a closely related problem is that of spreading. This problem is the presence of the polymer waste created by faulty prints, and support material used during printing. To create filament from this waste, it must first be chopped into fine pieces. In this project, an original polymer grinder was designed and built, adopting the innovations of Industry 4.0. Remote control and supervision were achieved using a Raspberry Pi I. type B and an Arduino Nano. The finished project can be seen in the faculty of engineering at the University of Debrecen.

Integrated Smart Home Model

2022 ◽  
Vol 17 (3) ◽  
pp. 1-14
Author(s):  
Nurshahrily Idura Ramli ◽  
Mohd Izani Mohamed Rawi ◽  
Fatin Nur Nabila Rebuan
Keyword(s):  
Industry 4.0 ◽  
Smart Home ◽  
Academic Programs ◽  
Raspberry Pi ◽  
Web Interface ◽  
Web Based ◽  
Learning Platform ◽  
Hands On ◽  
Hands On Learning ◽  
Set Up

Today, in the realm of Industry 4.0, vastly diverse Internet of Things (IoT) technology are integrated everywhere, not to mention included in academic programs in schools and universities. Domain ratio of the final year projects in Universiti Teknologi Mara exposes a staggering hype in IoT as compared to other domains despite not having IoT included in any of the courses. Meanwhile, to fulfill the needs of the student in exploring this technology, an integrated IoT learning platform is developed. It integrates an IoT smart home model and a web-based interface as a learning platform to inspire hands-on learning for the students. The raspberry pi, motion sensor, analog gas sensor, atmospheric sensor, ultrasonic proximity sensor, and rain detector sensor are integrated together in a Lego-built smart home model where its connectivity and readings are displayed in a simple web interface to enable and inspire learning. A manual to set up the entire model is also prepared as a guide for students to set up and further explore the functionalities and operabilities of “things”.

DESIGN OF SMARTSCHOOL WEBCAM SECURITY SYSTEM USING RASPBERRY PI WITH MOTION DETECTION IN SMK PGRI SUKODADI

JOURNAL ASRO ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 202
Author(s):  
Firman Yudianto ◽  
Fajar Annas Susanto
Keyword(s):  
Motion Detection ◽  
Industry 4.0 ◽  
Low Cost ◽  
Security System ◽  
Educational Institutions ◽  
Raspberry Pi ◽  
File Size ◽  
Moving Image ◽  
Moving Images ◽  
Web Camera

Currently a low cost security system is needed and easy to apply especially at educational institutions that willimplement smart school and industry 4.0. Needed devices are raspberry pi and web camera. Raspberry pi willonly save moving images taken from the web camera. Because by storing an image whose file size is not toolarge will ease the performance of the server. In this study, a design for the raspberry pi based motion detectionsystem will be applied at SMK PGRI Sukodadi Lamongan Regency which has not have security system. Thissystem will save the file in the form of an image that will be put together into a moving image that looks like avideo that will displayed in a LED monitor.Keywords: smart school, motion detection, moving image.

scholarly journals Developing Intelligent Child Protection and Security Systems

2020 ◽  
pp. 63-66
Keyword(s):  
Child Protection ◽  
Computational Time ◽  
Raspberry Pi ◽  
Prototype Model ◽  
Main Concern ◽  
Road Accidents ◽  
Person Identification ◽  
Security Systems ◽  
Safety Measures ◽  
Safety Systems

In present time, the security and safety aspect of a school going children is of main concern and paramount importance. In India, many children are found to be missing and yield to road accidents because of lack of preventive safety measures. Parents are always concerned about their children during commute. This project proposes an Raspberry pi based intelligent solution to assist parents in real time to track their children location. In order to track the location and find the identity of the child a AI thinker and camera is used in the proposed system. The system uses Raspberry pi as main microcontroller. The project also proposes safety systems such as person identification, Geofacing and automatically ON and OFF system using thumb impression. The working prototype model of the developed system exhibits good accuracy with reduced computational time. By incorporating all those above features, we can assure the safety and security of every school children.

Sensor Fusion for Vibration Suppression Implemented on Arduino and Raspberry Pi

2015 ◽  
Author(s):  
Ryan W. Krauss
Keyword(s):  
Sensor Fusion ◽  
Vibration Suppression ◽  
Floating Point ◽  
Raspberry Pi ◽  
Computational Power ◽  
Embedded Control ◽  
Control Applications ◽  
Performance Improvements ◽  
Arduino Microcontroller ◽  
Additional Approach

Arduino microcontrollers are popular and easy-to-program and can be a great option for student-owned control hardware or other embedded control applications. This paper investigates whether or not an Arduino microcontroller has the computational power to implement a sensor fusion observer/controller for vibration suppression of a slewing beam. An additional approach based on combining the Arduino with a Raspberry Pi is also investigated. Somewhat surprisingly, an Arduino microcontroller is experimentally shown to be capable of implementing a sensor fusion observer and state-space controller for a system with seven states. The floating-point matrix calculations are completed in roughly 2 milli-seconds, implying that real-time feedback control could have update frequencies in the range of 100–400 Hz. Additionally, sensor fusion leads to slight performance improvements over using just one sensor.

scholarly journals IoT and Raspberry Pi application in the food industry: a systematic review

2022 ◽  
Vol 11 (1) ◽  
pp. e0411124270
Author(s):  
Creciana Maria Endres ◽  
Crivian Pelisser ◽  
Doglas André Finco ◽  
Maristela Schleicher Silveira ◽  
Valério Junior Piana
Keyword(s):  
Systematic Review ◽  
Data Security ◽  
Potential Application ◽  
Industry 4.0 ◽  
Food Industry ◽  
Raspberry Pi ◽  
Iot Applications ◽  
Excellent Opportunity ◽  
Quality Of Products

The Industry 4.0 technologies are in ascension in the worldwide market, in Brazil still needs to be explored. It was made a Systematic Review to measure the application of IoT in the food industry. Some platforms were used to select works, applying the string “IoT AND Raspberry Pi AND Cheese”. It was possible to evidence the majority of IoT applications in the food industry, focus on the control of temperature, humidity, color, traceability of productive chain, and enlargement of sustainability in the food industry. The most difficulties faced in the conventional application of IoT are related to the high cost of proprietary arquitectures, qualified manpower and obstacles of data security implementation. There are alternatives that aim to reduce the costs of implementation, like the utilization of Raspberry Pi. The food industry presents potential application of technologies that aim for the quality of products, being an excellent opportunity.

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