Closed-Loop Control of Silicone Extrusion-Based Additive Manufacturing Based on Machine Vision

In this paper, the control of strand width uniformity in extrusion-based additive manufacturing process based on machine vision is studied. Firstly, the images of the strand width are collected frame by frame by a CCD camera. Secondly, through a series of processes of images acquisition, images processing including images filtering, images binarization and information extraction, the useful information of strand width is obtained. Then, the theoretical relationship between the strand width and printing speed is obtained through experimental research, and a control model is obtained. Finally, by using the control model and the strand width obtained from images processing, the printing speed is adjusted to an appropriate value, which eventually led to the stabilization of the strand width. The uncontrolled and logarithmic controlled, are studied in this work. The results show that the logarithmic controlled strand width is more stable than the uncontrolled strand width. Therefore, the instability of strand width in material extrusion-based additive manufacturing process can be effectively solved by machine vision control.

Wykonywanie obowiązków ustawowych pomimo braku wydanych przepisów wykonawczych w zakresie prowadzenia wizyjnego systemu miejsca magazynowania odpadów. Glosa do wyroku Wojewódzkiego Sądu Administracyjnego w Białymstoku z dnia 9 czerwca 2020 r. (II SA/Bk 16/20, CBOSA)

<p>The Voivodeship Administrative Court in Bialystok, in its judgement of 9 June 2020, dismissing the complaint of the limited liability company in H., on the post-inspection orders of the Podlaskie Voivodeship Inspector for Environmental Protection in Bialystok of 6 November 2019, considered the necessity to fulfill the obligation under Article 25 para. 6a of the Act on Waste, i.e. the operation of a visual control system for the place of waste storage, in force, in the opinion of the Court, from February 2019, despite the lack of executive acts issued by the competent minister. Determining the requirements for the visual control system of the place of storage or storage of waste, the minimum requirements for the technical devices of the vision control system and the requirements for the storage and sharing of the recorded image, guided by the need to enable supervision over the activities in the field of waste management, was established pursuant to the provisions of the Regulation of 29 August 2019 which entered into force in December 2019. In the opinion of the Court, the provisions of the Act on Waste do not have to be met together with the provisions issued on the basis of the Regulation, as the standards of the implementing acts only supplement the general conditions resulting from the statutory provisions.</p>

Compensatory image of the stability of people with multiple sclerosis and atrial vertigo based on posturography examination

Pathophysiology of balance disorders due to multiple sclerosis (MS) and atrial vertigo (AV) is different. We evaluated posture stability when maintaining balance in people with MS presenting symptoms of ataxia and those with AV. We included 45 women (15 with MS; 15 with AV; 15 controls). A posturography platform was used to measure balance parameters. To characterize the image of stability and the compensation of balance disorders, the surface area of the stabilogram (SAS), vision control index (VCI) and the vision-motion control index (VMCI) were used. The stability image of people with MS and AV with eyes open (p = 0.002), with eyes closed (p = 0.080) and with visual biofeedback (p = 0.0008) differed significantly. SAS depended on visual biofeedback regardless of the occurrence of balance disorders and was the basis for determining the compensatory share of vision-motor coordination. Differences in VCI between groups were insignificant. VMCI was significantly higher in people with balance disorders than in those without, but similar in the MS and AV groups. The image of stability is different in people with MS and AV. Thanks to visual biofeedback, it becomes possible to launch effective vision-motor coordination when compensating balance disorders. VCI may become the measure of compensation for balance disorders.

Badminton motion capture with visual image detection of picking robotics

In the process of strawberry easily broken fruit picking, in order to reduce the damage rate of the fruit, improves accuracy and efficiency of picking robot, field put forward a motion capture system based on international standard badminton edge feature detection and capture automation algorithm process of night picking robot badminton motion capture techniques training methods. The badminton motion capture system can analyze the game video in real time and obtain the accuracy rate of excellent badminton players and the technical characteristics of badminton motion capture through motion capture. The purpose of this article is to apply the high-precision motion capture vision control system to the design of the vision control system of the robot in the night picking process, so as to effectively improve the observation and recognition accuracy of the robot in the night picking process, so as to improve the degree of automation of the operation. This paper tests the reliability of the picking robot vision system. Taking the environment of picking at night as an example, image processing was performed on the edge features of the fruits picked by the picking robot. The results show that smooth and enhanced image processing can successfully extract edge features of fruit images. The accuracy of the target recognition rate and the positioning ability of the vision system of the picking robot were tested by the edge feature test. The results showed that the accuracy of the target recognition rate and the positioning ability of the motion edge of the vision system were far higher than 91%, satisfying the automation demand of the picking robot operation with high precision.

Specially Designed Multi-Functional Search And Rescue Robot

In digital era, robots are becoming an integral part of human life due to their efficiency and high performance. In recent years, search and rescue robot systems are used tremendously in a natural disaster. Nowadays, many areas of the world are getting affected due to natural disasters. Disasters can be exceptional and unstoppable events that are either man-made or natural, such as building collapse, earthquakes, wildfires, and floods, etc. This witnesses the importance of search and rescue robot systems in the emergency field. In the emergency field, a variety of sensing and wireless technologies are used in remote and vision control. The use of these technologies, the rescuers instead of going inside in the ruined area, can control remotely search and rescue robot systems when natural calamity occurs. These robot systems have the ability to move and monitor in the ruined area as a result of natural disasters such as building collapse, earthquakes, wildfires, and floods. In this paper, we design a sensor-based multi-functional search and rescue robot system for use in emergency situations. The system consists of an Arduino Mega board, Raspberry Pi 3 Model B+ board, servo motor, camera, Direct Current motor, motor driver module, stepper motor, Darlington Transistor Arrays, and ultrasonic sensor. The multi-functional search and rescue robot system has the ability to help the rescuers to search and show the ruined area from far away. The rescuers also could save their lives using this robot system. The main objective of this paper is to design a multi-functional, easy to control, microcontroller and Vision control based rescue robot system.