ITECH1101 – IT Problem Solving Hackathon Report Assignment Help
Part 1: Design Documentation and Peer Review
Part 2: Hackathon Report
Part 3: Hackathon Presentation
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The people dealing with software programming or computer programming and the people working in the IT sectors are very interested in the event known as Hackathon. It is a fest that deals with design sprint and welcomes all professionals of software and IT who wants to identify the risks faced in the various IT departments and then present a suitable solution for them. This report describes the work done on a robotic arm that helps people sort various objects based on its color in any place. The journal entries made while working on the armed robot is discussed by assessing the challenges faced and identifying the final results.
Overview of work done
The whole work done by the members of the team in the hackathon was to make a robotic arm or an armed robot that can solve issues of item identification by being able to segregate it based on their colors and that too in any place possible (Siegle, 2017). The arm would use night vision for further assistance in doing its duty and this robot was made in the event through a proper set of rules and by following the proper codes of computer software and algorithms.
The journal entries made by the team preparing the robotic arm features the work done on a daily basis towards the achievement of the goals (Siegle, 2017). The journal entries of the five-day process provided the detailed descriptions of the work done starting with the step of feature extraction where the image of the workplace was taken and was resized based on the dimensions of the place of work. The next day the image that has been extracted and resized with difficulties was converted to the grayscale after the reading was over. The binary images were generated with the help of Otsu's process. The next day the team used the Canny Method to detect the edges of the binary images that were generated the day earlier (Frishammar and Sjödin, 2015). The center image method was used to solve the problems related to the observation of the classifier parameters. BLOBs analysis method was used by the programmers in order to apply boxes that were rectangular around the objects that have been detected earlier. The convolution process was used to identify the variation in the properties of the certain image that differed to the rest of the images present in the area nearby. Finally, on the last day, they were able to test the robotic arm and made notes on the number of the cycles that the arm could complete while picking up or segregating the items. The time taken by the arm to pick up an object and transfer it from one place to the other was detected and recorded. After the object was dropped the arm went back to the standby mode as it was initially (Frishammar and Sjödin, 2015).
The whole process was depicted with the help of a number of images and diagrams that helped the readers understand the complete process in a better way. It also provided the opportunity of understanding the methods that were used to develop the armed robot and the internal operational units of the arm was also identified and studied. The journal provided for the reference that one could use in the future and this report explains in details the concept that would help all to understand the journals better (Kwon and Park, 2018). The machine is described in details explaining all the codes and the algorithms that work behind its existence. The aim of the machine, which is to mitigate risks in the IT sector, is explained as well. The specifications of the image like the height and weight are present as well and the whole process of building the machine is depicted clearly through a whole system framework. The original image, as well as the binary images of the objects, has been provided for a clearer understanding of the conditions of the items (Trainer et al. 2016). The use case diagram forms a part of the UML model and has been provided in the paper for the proper assessment of all the conditions that take place in the feature extraction process.
Challenges faced and output
The whole process did not run smoothly and the methods had to overcome certain problems before reaching perfection (Kwon and Park, 2018). Identifying and overcoming the problems faced was a major step that the total process had to go through. The issues did not arise in all the steps of the making process of the arm but in a few specific areas. The first issue was the resizing of the images according to the dimensions of the workplace, which had to be mitigated in order to carry on the work forward. The development of the subjects to be tested and observed with the classifier parameters posed another issue (Frerejean et al. 2019). Lastly, the pixel data of the images were lost due to their raster formats.
However, all these issues were cleared and the arm was made successfully. The robotic arm worked as it was expected as the images were formed through Scalable Vector Graphics. The arm would be able to solve the problems that the sectors dealing with Information Technology and the computer software faces on a regular basis (Frerejean et al. 2019). The objects will be sorted faster, swifter and without any kind of confusion or complication. Time and energy both these aspects can be saved by incorporating these kinds of machines in the workplace and it helps in the technological advancement of the firms dealing with IT as well.
This report has successfully provided a detailed description of the whole process that was undertaken in the hackathon in order to formulate plans and make the robotic arm out of scratch. The documentation is done by the members in their journal who were involved in the building of the robotic arm provided for all the vital information that this report presents. The aim of the making of the robot, the codes, cases, and algorithms related to the machine as well as the challenges faced have been documented on a daily basis and have been discussed in this report to fully understand the need of such processes.
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