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Automated scratch detection syseem for the automative industry.

Thesis Info

Author

Syed Muhammad Hassan Naqvi, Muhammad Ashir Wahid

Program

BS

Institute

Habib University

Institute Type

Private

City

Karachi

Province

Sindh

Country

Pakistan

Thesis Completing Year

2018

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676724375226

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Following the manufacturing process within an automotive industry, a vehicle is prone to defects being present on its body. In the Pakistani industry, one of the largest contributors to these defects are scratches. The current measure being taken to detect scratches on vehicles involve the presence of trained specialists who inspect the body under specific lighting conditions. For this very reason, a low cost and effective automated system is desired which is capable of detection scratches on the front bumper of vehicles on the production line of industries. The main features of this system should its ability to pinpoint a range of areas where the scratches originate from in the manufacturing process as well as to help improve the current manual inspection system in place. To tackle the problem at hand, we propose a scratch detection device, based on a microcontroller interfaced with a distance sensor and a camera module, set up on a robotic arm which is mapped to the front bumper of a vehicle. The system is placed on the manufacturing line. It detects the presence of a vehicle through the threshold being broken on the distance sensor. It then begins the mapping process and takes images of the bumper which it then sends to the image processor located on the microcontroller of the device. The image processor loads the images and begins to preprocess them. This involves the removal of unwanted objects, the removal of reflections of surfaces, etc. It then passes the preprocessed image onto a trained machine learning model which outputs a decision stating whether a scratch is present or not. This data is then logged onto a spreadsheet online which is accessible by the human inspector. The trained machine learning model is based on a Convolutional Neural Network that is trained on a image dataset of around 1500 images of scratches and non-scratches. This model has an accuracy rate of 90% and is capable of telling whether a scratch is present in an image or not. The Robotic Arm has 6 degrees of freedom, allowing it to move in all four directions in a spacial plane as well as extend further into space. This is done to take into account the curved body of a front bumper. The proposed implementation is to place two such Automated Scratch Detection Systems on two sides of the vehicle at a distance of 16 centimeters from the body. This ensures optimal processing time as well as detection accuracy. Each of the systems map towards one half of the bumper and perform the image processing task in a total of 12 minutes
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المبحث الخامس: کفِ آئينة

المبحث الخامس: کفِ آئينة

 ( کفِ آئینہ ) ھذہ المجموعۃ الشعریہ الخامسۃ والأخیرۃ لبروین شاکر التي تمّ نشرھا بعد وفاتھا، وقد اختارت الشاعرۃ بروین شاکر اسم مؤلفھا ھذا ولکن الحیاۃ لم تساعدھا في أن تکمل مسیرتھا ولم تستطع طبعھا ونشرھا. وأھم میزۃ في ھذا المؤلف ھي المشاعر الحزینۃ وعواطف مليئة بالأحزان والآلام، وبعض النقاد أعتبر (کفِ آئینہ) إمتزاجًا بین (إنکار) و (خوشبو)، وبعض الکتاب اعتبروا (کفِ آئینہ) العمل الراقي المتطور والملون لبروین شاکر، وھذہ المجموعۃ عبارۃ عن الخیال الرفیع والفکر العمیق والأسلوب الجدید والتعبیر الصادق للأحاسیس ومشاعر الشاعرۃ ویتضح نظرتھا للحیاۃ والواقع أکثر من نظرتھا للخیال والوھم۔

 وأھم المواضع التي تناولتھا الشاعرۃ ھي حیاتھا الخاصۃ وتجاربھا وما حولھا من الحالات الإجتماعیۃ والمآثر الدنیاویۃ، وھموم الحیاۃ ومتاعب العمر وأحزان القلب ومآسي العیش ومصاعب الحب وغیرھا من المواضیع الحزینۃ المليئة بالألم والأوجاع وتکالیف الحیاۃ، وقد تناولت الشاعرۃ المواضیع القدیمۃ بأفکارھا وأسلوبھا الجدید وقد استخدمت تعابیر صادقۃ بمزاج متناغم قدیم ولکن بترتیب متناسق وبطریقۃ متطورۃ حدیثۃ تلفت أنظار الجمھور من الأدباء والقراء۔ وقد نالت ھذہ المجموعۃ أیضاً إعجاب القراء ومثقفي الأدب وفي الأبیات الآتیۃ تربط بین الزھرۃ والھواء العلیل وھذا دلیل علی أن الشاعرۃ کانت لھا القابلیۃ في أن تجعل من الأفکار القدیمۃ معان وکلمات جدیدۃ متطورۃ توافق مع العصر الحاضر۔

اک حجاب تہہ اقرار ہے مانع ورنہ
 گل کو معلوم ہے کیا دست صبا چاہتا ہے
الترجمۃ:
 ھناک حجابٌ بین الطرفین تمنع وإلاّ
 الزھرۃ تعلم ما ذا ترید ید الھواء العلیل

 

 

جهود علماء بهاولفور في النهضة العلمیة الحدیثة

The state of Bah┐walp┴r was founded in 1802 by Naw┐b Mohammad Bah┐wal Khan II. After the establishment of Pakistan the state opted to accede to the new, on 14 August 1947 October 1947. It was dominion of Pakistan, with effect from 7.1511 merged into the province of West Pakistan on 14 October Bah┐walp┴r has always been a seat of higher learning. Uch Shar┘f, a nearby ancient town, had one of the largest universities where scholars from all over the world used to come for studies. As a continuation of that tradition, J┐m‘a Abb┐siya was established in Bah┐walp┴r in the year 1925, following the academic pursuits of Jamia Al-Azhar, Egypt. The renowned scholars spread Islam by teaching Tafs┘r of Qura’n, Hadith, Fiqh, and History along with other contemporary subjects. The establishment of Jamia Abb┐sia and the arrival of religious scholars in Bah┐walp┴r bear witness that it is a scholarly and traditional state and it has been proved as a place of protection for educational, cultural and historical traditions.

Factors Influencing Consumer Buying Intention in Changing Green Marketing Environment in Pakistan

The aim of this research is to assess the impact of the different factors namely environmental concern, social influence, green motivation, green information, environmental health & safety, media exposure/green advertisement, green consumerism, and willingness to pay more on consumer buying intention in changing green marketing environment in Pakistan. Based on convenience sampling technique data was collected from three provincial capitals (Peshawar, Lahore, and Karachi) and the country capital Islamabad. A total of 403 valid responses were received. Data analysis was carried out through descriptive statistics, factor analysis, and Structural Equation Modeling. The results revealed a significant impact of green consumerism, social influence, green intention, green motivation, and willingness to pay more on consumer buying intention. While the impact of media exposure, environmental health & safety, and environment concern was found insignificant. Discussion, limitation, and future research direction are also presented. This study is original in a number of ways. First, previous studies have individually assessed the impact of some of the proposed factors on consumer purchase intentions, there is limited research in context of green purchase intention. Second, there are contradictory results in existing research pertinent to the impact of different factors on the purchase intentions of the consumer, this requires further research to clarify the impact and identify the determinants of green purchase intentions. Third, little is known about factors that could significantly affect the greenness of consumers’ choices. Hence, the present study would help add to existing knowledge by clarifying their impact. Fourth, not only the study will help in identification of critical factors that affect green purchase intention, the study identifies the factors influencing green purchase behavior of consumers, which provides additional motivation for the present research. Fifth, there hasn’t been a study that evaluate which factors are critical in consumer buying intention of the eco-friendly products in context of Pakistan. Scant research sheds light on green marketing strategies and its impact on green consumer purchasing patterns in the context of developing countries. Therefore, there is an increasing need to study factors that can help consumer purchase towards environmentally friendly products. Sixth, the study ascertains new paradigms that could make provision for better understanding of complicated relationship between different factors and consumer purchase intentions and can help identify new facts that can enhance the generalizability of results not only in developed countries but also in less developed countries. Seventh, the present study utilizes broader demographic profile to analyze respondents extending the collection of data from multiple cities in Pakistan investigating with larger sample size and greater geographic spread. The study has some limitations. The study utilized convenience sampling technique, it is noteworthy that the results could possibly have been more generalizable, future study may use probability sampling techniques. Furthermore, only three cities are included in the study. Future study may be conducted in multiple countries in different cities. The findings in the current research have far-reaching implications theoretically and practically. To start with, the findings would help in the understanding of the perceptions and mindsets of consumers as far as green products are concerned, including the factors that affect their decision to purchase or keep away from a green product.Policy makers may find the results relevant as they explore regulations and standards to set and enforce in the interest of promoting green business processes. Business executives and employees may find the results relevant in their efforts to strategize for eco-branding, to stand out from market rivals. The study helps in identification of factors that could shift people’s attitude towards purchasing green products. Thus, Pak-EPA could establish certain guidelines for different business organization keeping in light the perception of people that shape their attitude. The PAK-EPA could use these factors as a starting point to educate the companies with respect to the concerns of the public. Future research directions are also discussed. Keywords: Environmental concern; Social influence; Green motivation; Green information; Environmental health & safety: Media exposure/Green advertisement; Green consumerism; Willingness to pay more; Consumer buying intention; Pakistan.