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Design of automatic shoebox sorter based on color
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Purpose: The circular economy has multiple benefits and opportunities to achieve sustainability and a better future for the next generations. The purpose of this paper is to propose a methodology that guides step-by-step any industrial SMEs in the transition from the linear to a circular model. Small and medium enterprises (SMEs) have a crucial role in the sustainable development transition, considering that they represent most of the world's companies.
Design/methodology/approach: To develop this methodology, two research techniques were used: a focus group and storyboarding.
Findings: The resulting methodology, called Ecopyme, comprises five steps: 1) Firm identity, 2) Diagnosis, 3) Planning, 4) Get the ball rolling, and 5) Assessment and feedback. In addition, two key criteria that must be included in the whole process were identified: value creation in the firm through a circular economy and organization commitment from the top management to the staff.
Research limitations/implications: The Ecopyme methodology has two limitations: It does not propose either implementation tools or involve consumers and actors at the meso (e.g., Eco-industrial parks) and macro (e.g., cities, provinces, countries) levels.
Practical implications: This study will help policymakers understand the SMEs' perspective and remove barriers that may hinder the paradigm shift. The methodology is also a useful tool for consultants and entrepreneurs to incorporate the circular economy (CE) principles into their business.
Originality/value: In the CE literature, little attention has been paid to proposing a structured methodology to implement CE in SMEs. Thus, the study provides a step-by-step methodology that guides any industrial SMEs to transition from linear to circular. Also, it provides additional evidence concerning the importance of human commitment in changing firms' paradigm because people can encourage the adoption of responsible production practices if firms commit CEOs, sustainability managers, and staff.
This study aims to design the movement of the hexapod robot so that it can move straight forward, turn 90 degrees forward, and move forward 180 degrees by applying the tripod gait method to produce a maximum movement pattern. The robot control system uses Arduino Mega 2560 to control the motion of 18 servo motors through the I2C interface servo motor driver - PCA9685. In straight forward motion testing, an average velocity of 6 cm/s was obtained, 90 degree forward motion testing obtained an average speed of 18 degrees/s, while the 180 degree rotational forward motion test also obtained an average speed of 18 degrees/s.
The fourth industrial revolution stimulates the advances of science and technology, in which the Internet of Things (IoT) and its supporting technologies serve as backbones for Cyber-Physical Systems (CPS) and smart machines are used as the promoters to optimize production chains. Such advancement goes beyond the organizational and territorial boundaries, comprising agility, intelligence, and networking. This scenario triggers governmental efforts that aim at defining guidelines and standards. The speed and complexity of the transition to the new digitalization era in a globalized environment, however, does not yet allow a common and coordinated understanding of the impacts of the actions undertaken in different countries and regions. The aim of this paper, therefore, is to bridge this gap through a systematic literature review that identifies the most influential public policies and evaluates their existing differences. This cross-country/region comparison provides a worldwide panorama of public policies' durations, main objectives, available funding, areas for action, focused manufacturing sectors, and prioritized technologies. Findings of this review can be used as the basis to analyse the position of a country against the existing challenges imposed towards its own industrial infrastructure and also to coordinate its public policies.
The expanding capabilities of today’s microcontrollers and other devices lead to an increased utilization of these technologies in diverse fields. The automation and issue of remote control of moving objects belong to these fields. In this project, a microcontroller Raspberry Pi 2B was chosen for controlling DC motors and servo-motors. This paper provides basic insight into issue of controlling DC motors and servo-motors, connection between Raspberry and other components on breadboard and programming syntaxes for controlling motors in Python programming language.
Ensuring minimum rights and safety of the garment workers has become a burning issue nowadays. The workers of garment factories are facing some labyrinths and broken out of fire is surely one of them. The investors are losing their interest and the prominence of this sector is getting toneless. In this paper, we have propounded a system which is capable to detect fire and can provide the location of the affected region. Raspberry Pi 3 has been used to control multiple Arduino which are integrated with a couple of sensors and camera. A 360° relay motor is assembled with the camera so that it can snap the image in whatever angle the fire is detected. We have provided a confirmation of the fire suspecting system to avoid any false alarm. The system will immediately send a message along with the image of the affected spot and Arduino's location. An admin can confirm or deny the impeachment and if the admin confirms the situation as a breaking out of fire, then the system will immediately raise an alarm and an automatic message will be sent to the nearby fire brigade.
Obstacle avoiding robot was designed, constructed and programmed which may be potentially used for educational and research purposes. The developed robot will move in a particular direction once the infrared (IR) and the PIR passive infrared (PIR) sensors sense a signal while avoiding the obstacles in its path. The robot can also perform desired tasks in unstructured environments without continuous human guidance. The hardware was integrated in one application board as embedded system design. The software was developed using C++ and compiled by Arduino IDE 1.6.5. The main objective of this project is to provide simple guidelines to the polytechnic students and beginners who are interested in this type of research. It is hoped that this robot could benefit students who wish to carry out research on IR and PIR sensors.
Current research trends in 3D Face recognition system requires a spesial hardware for fast capturing face image data from multi angle view. To support this research, we had designed and implemented an automatic image data acquisition system using multi-camera for capturing facial images from 5o different angle views, which spanned horizontally from 180° from left to right, and vertically from horizontal up to 70o above the face. The system was designed using 30 IP cameras that were mounted on two rigid steel arms that had the form of three quater of a cirle, the two steel arms formed the angle of 90° to each other. At each arm, 15 IP cameras were mounted with 5o spacing vertically to each others. This arm was driven by a DC motor which was controlled by a microcontroller and supervised directly by a laptop computer along with the data acquisition activities.
The software for capturing images was designed using C# GUI programming language. The system had been working in good condition and image-data were saved in JPEG format. Time duration of capturing images data for one object face expression with 30 times capturing for the whole angle views, was only 3 minutes 44,5 seconds with total number of 16,650 images collected.The delay time between two cameras capturing was less than 1 secs. This project is aimed to support the 3D face recognition research in the department.
Keyword : data acquisition system; Image data base; IP camera; instrumentation; microcontroller;autonomous;
For different purposes, a service robot that can be controlled remotely will play a significant role in the expansion of robotics automation systems. In the developing countries like Bangladesh, everyone is concerned about safety from both natural and human-made situations like Disposal of Bombs, rescuing objects from dangerous places, a useful assistant for handicapped people. In this paper, we propose to make a Robotic Car (RC) which helps to enter an environment of higher risks, grab and move to an appropriate place. For developing this generic model, Raspberry Pi 3 Model B+ is used as the central control unit for the robot. Six Degree of Freedom (DOF) Arm is used to compute as the main factor for grabbing the objects. Radio Frequency (RF) transmitter is the remote handheld controller for the RC. Also, a raspberry pi 0.6MP camera is integrated for live video streaming. The live streaming will provide the actual scenario of the environment to operate, control and navigate the RC. This robot also carries some important sensors like a Gas sensor, Ultrasonic Sonar Sensor and 3-Axis Digital Compass to bring out the scientific task of the robot. This prototype can be both used for educational and research purpose. The performance of the robot can be measured by the transmission of the video streaming, control system success rate for RF controller, outcomes of the sensors and the accuracy of the 6 DOF Arm.
Liquid Crystal Display: Environment & Technology
- A Tyagi
- D Chatterjee