Department of Chemical Engineering

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    DIP Based Beverage Inspection On Conveyor Under
    (Publisher COMSATS University Islambad Lahore Campus, 2019) Ahmad Hameed , Rimsha Tariq , Nayab Saeed, Ayesha,; FA15-BCE-002 , FA15-BCE-004 , FA15-BCE-026 , FA15-BCE-030; Dr. Muhammad Yaqoob, Assistant Profesor [Supervisor]; LHR Tp 5875
    Automated vision inspection is creating a revolution as it becomes a vital part of the quality monitoring process. It offers more accuracy and efficiency. Major Automatic visual inspection responsibilities include, spotting the occurrence or deficiency of objects in the image and computing the dimensions of objects to see if they converge conditions. Measurements are built on characteristic attributes of the object represented in the image. Automatic image processing systems usually classify the type of data contained in the image as edges, surfaces, and textures, or patterns. This project aims at the development of a system for the removal of faulty product in beverage, water bottles industries. It can be self-operational in controlling, starting with bottle detection as a faulty product then pushing the products away from the conveyor to some other basket. Our project mainly deals to detect and remove the faulty products form the product line (conveyor). This work is currently done manually in product lines in industries. This project is divided into two major portions i.e. detecting bottles on a conveyor using IR sensor and synchronize it with the movement of conveyor using the electrical circuit part that includes Raspberry Pi microcontrollers and once the IR sensor detects bottle on conveyor it gives the signal to Raspberry Pi and Real time image is captured. Another part is the camera for image capturing and of course Raspberry Pi for doing image processing with OpenCV libraries. Raspberry Pi is being used for image processing and sending commands to the mechanical parts to work accordingly. The camera takes the real-time image of bottles and send it to Raspberry Pi where it is matched with predefined data for template matching. This project covers three major inspections task that are, bottle cap detection (either it is properly locked or not), logo detection (either bottle has a logo or not) and 3rd is level checking of liquid inside the bottle (either it is filled to a specific level or not).
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    Production Of 100 Tons Day Dimethyl Ether
    (Publisher COMSATS University Islambad Lahore Campus, 2014) : Toseef Iqbal; SP08-BEC -171; Zeeshan Rashid, Assistant Profesor [Supervisor]; LHR TP 5921
    Future energy demand especially in the Pacific & Asian regions is to be huge. Dimethyl ether will be a solution of secure energy supply and environmental conservation. Keeping these points in mind we urged to work & we are feeling great to present our work on “Production of Dimethyl Ether (DME) by catalytic Dehydration of Methanol” This report is divided in different sections. First of all the introduction of DME is given, which highlights its importance. Different manufacturing processes for DME are also described in chapter 2. Detailed description of “Production of DME by catalytic dehydration of methanol” is also presented in chapter 2. Afterwards material and energy balance is presented. In preceding chapters introduction to different equipments of plant along with their designing procedure and specification sheets are presented. Hazop study, Instrumentation & Control, Environmental Impacts and Cost Estimation for this plant are also included in this report.
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    Indoor Navigation System For A Shopping Mall Using
    (2019) , FA15-BCE-058 , FA15-BCE-013; Kainat Sabir , Khadija Khan; Dr. Naseem Shehzad, Assistant Profesor; LHR TP 5870
    GPS (Global Positioning System), is the most widely used navigation technique, but it does not work inside the buildings or indoors because GPS signals are weak after passing through massive concrete structures. The prime objective of this project is to provide an indoor navigation system that can work inside a large building like malls, airports, stations, university campuses, and hospitals, etc. where people feel it difficult to find a specific location. This system establishes the position of the user in such a building and then guides the user to his/her desired indoor destination. The indoor navigation system is based on three distinct components, a platform for positioning system, signal transmitters or location devices, and an application on mobile that retrieves and predicts signals. After comparing different technologies, we came across the fact that BLE (Bluetooth Low Energy) is more appropriate for an indoor navigation system. The final user of the system is provided with the Indoor Navigation System in the form of an Android application. The application works in with the collaboration of installed hardware units inside the building. The system is evaluated in a real-time environment, and the results show that we have achieved an efficiency of up to 60%.