Abstract Diploma of Electronic Engineering (ComPUTER) WHEELSAFE IOT: ELEVATING WHEELCHAIR SAFETY THROUGH SMART FALL DETECTION KUBERAN A/L NADARAJAH Politeknik Sultan Idris Shah Abstract WheelSAFE IoT represents a groundbreaking solution aimed at enhancing the safety and security of individuals using wheelchairs by integrating advanced technologies for smart fall detection and remote monitoring. This comprehensive system integrates a range of hardware components, including Force-Sensing Resistor (FSR) sensors, gyroscopes (MPU6050), a GY-NEO6MV2 Flight Control GPS module, and an ESP32 microcontroller, meticulously orchestrated on a PCB board for seamless operation. Leveraging the Arduino IDE, developers craft firmware that orchestrates sensor data acquisition, implements a sophisticated fall detection algorithm, and establishes robust communication protocols. Furthermore, through the versatile Blynk platform, WheelSAFE IoT furnishes users with an intuitive interface for remote monitoring, configurable alert notifications, and insightful data visualization. In practice, WheelSAFE IoT continually monitors user movement and position, utilizing advanced algorithms to detect abrupt shifts indicative of a fall event. Upon detection, the system swiftly triggers alerts, promptly notifying designated caregivers or emergency services, thereby facilitating immediate assistance and potentially mitigating the severity of injuries. Moreover, the system's integration with GPS technology ensures precise location tracking, aiding responders in swiftly locating the user in case of emergencies. Beyond its primary function of fall detection, WheelSAFE IoT serves as a valuable tool for proactive care management. By analyzing long-term data trends and activity patterns, caregivers can gain invaluable insights into user behavior, identify potential risk factors, and implement tailored interventions to preemptively address safety concerns. Ultimately, WheelSAFE IoT stands as a testament to the transformative power of IoT technology in fostering independence, confidence, and peace of mind for wheelchair users and their support networks. Key Words: safety, smart fall detection, wheel chair 21 DTK 48
Abstract Diploma of Electronic Engineering (ComPUTER) ARDUINO AUTOMATIC CLOTHES HANGER RAIN DETECTION MUHAMMAD AQIL DANIE BIN KHAIRUL ANUAR Politeknik Sultan Idris Shah Abstract This project aims to develop an automatic clothes hanger system using Arduino equipped with rain detection. The main goal is to protect clothes from sudden rain and reduce the need for manual weather monitoring. The need for protecting clothes from sudden rain is crucial, especially for individuals living in areas with unpredictable weather, where clothes loss due to rain can cause discomfort and damage. The objectives of this project include developing a system that can automatically detect rain, pulling waterproof fabric to protect the clothes when rain is detected, and creating an efficient and smoothly functioning system. The methodology involves using Arduino as the main controller and integrating rain detection modules and a 12V DC motor. Arduino is programmed using Arduino IDE to respond to data from the rain detection module and operate the DC motor according to the detected rain conditions. The results show that the system successfully detects rain accurately and pulls waterproof fabric to protect the clothes effectively whenever rain is detected. Recommendations include optimizing the positioning of the rain detection module and reprogramming to improve detection accuracy and system responsiveness. In conclusion, this project has successfully developed an automatic clothes hanger system with rain detection that functions well, providing comfort and convenience to users. Key Words: Rain, Rain Sensor, hanger system 22 DTK 49
Abstract Diploma of Electronic Engineering (ComPUTER) ROOF VENTILATOR GENERATOR MUHAMMAD DANISH AIMAN BIN MUSTAFFA Politeknik Sultan Idris Shah Abstract The "Roof Ventilation Generator" project addresses a critical gap in sustainable energy solutions by repurposing common roof ventilators as a source of clean electricity. This innovative approach leverages the rotational motion of roof ventilators to drive a connected DC generator through a crown gear mechanism, converting mechanical energy into electrical power. The integration of a current sensor and an ESP32 microcontroller enhances the project's efficiency by providing real-time monitoring and data-driven insights. This project is significant for several reasons: it pioneers the concept of energy harvesting from everyday infrastructure, demonstrates the seamless integration of traditional and modern technologies, contributes to global sustainability goals, and represents a technologically advanced, interconnected solution for smart energy systems. The Roof Ventilation Generator not only addresses a fundamental oversight in energy utilization but also sets a precedent for the potential of inventive thinking in reshaping our approach to renewable energy. Through its dual emphasis on sustainability and technological innovation, the Roof Ventilation Generator project offers a tangible example of how existing infrastructure can play an active role in a cleaner, smarter, and more energyefficient future. Key Words: sustainable energy solutions, source of clean electricity, converting mechanical energy into electrical power, demonstrates the seamless integration of traditional and modern technologies. 23 DTK 50
Abstract Diploma of Electronic Engineering (ComPUTER) NUMBER PLATE RECOGNITION MUHAMMAD ZUL HAZRIN BIN HAIROL ANUAR Politeknik Sultan Idris Shah Abstract Overcrowding in security guards can also be caused by factors such as sudden security policies changes or implementation of new regulations, which may require adaptation and additional learning on the part of users and security personnel. Furthermore, imbalance between the number of vehicles that need to be checked and the ability of security personnel to handling high workloads can contribute to congestion. Failure of safety systems or equipment can also have a negative impact on the smoothness of the inspection, especially if there is a technical problem or disruption that results in a decrease operational efficiency. Therefore, re-evaluation of security processes and equipment, as well as implementation more efficient innovations, can help reduce the risk of congestion at security guards place. Therefore, with the personal "number plate recognition using OpenCV" project, ARDUINO UNO and WEB CAM are used as the main open source basis for the project. While WEBCAM can detect and take pictures of vehicle license plates, This project is developed for any places where security guards need to facilitate, that is to avoid congestion on the security side guard post and reduce the work of security guards because every immigrant has to enter their personal data there. How this project works is first of all the webcam will detect the number plate second if the plate number is resident the servo motor will move 90 degrees close after 3 seconds and the LCD display will show WELCOME if the webcam number plate visitor motor servo does not detect will move (close) and if the webcam does not detect the resident number plate and the LCD viewer will display HELLO. We can avoid cases of theft in the home area. Key Words: ARDUINO UNO. Servo Motor, Web Cam, Lcd Display. 24 DTK 51
Abstract Diploma of Electronic Engineering (ComPUTER) AI HOME LOKE CHIN LING Politeknik Sultan Idris Shah Abstract Using Blynk IoT and voice command technology in conjunction with temperaturesensors for AC fans and light sensors for lightbulbs, the "AI Home Project" is asignificant example of home automation progress. With the use of a smartphoneapp, users of this cutting-edge system may adjust fan speeds and light brightnessremotely. Voice commands improve user convenience by enabling hands-freeoperation. The problem statement of the project is, Waste of Energy (Theinefficient use of fans and bulbs contributes to the waste of electricity). AffectedComfort (Lack of automatic controls can cause discomfort to the occupants of thehome). Energy Waste and Costs (Inefficient energy use can add up to higher monthly costs). The objective of the project is, use a smartphone applicationcreated with Blynk IoT to remotely control lighting and fans in homes. Voicecommand technology is included to allow users to operate these gadgets without using their hands. To able to learn user preferences and modify its behavior inorder to optimize energy consumption and improve user experience. The AI homeproject integrates Blynk app and voice command functionalities to enable remotecontrol of household appliances. Using Arduino or similar microcontrollers, thesystem interfaces with Blynk to establish a mobile app interface for users. Theintegration of Blynk app and voice command significantly enhances the usabilityand accessibility of the AI home system. Users can effortlessly control lights, fans, and other appliances remotely via the Blynk app, while voice commandsprovide a convenient hands-free alternative. Moreover, soliciting user feedbackand conducting usability tests can help identify areas for improvement and refinethe system's functionality to better meet user needs and preferences. Inconclusion, the AI home project incorporating Blynk and voice commandcapabilities revolutionizes home automation, offering unparalleled convenienceand accessibility. With seamless integration between the Blynk app and voicerecognition technology, users can effortlessly control their household appliances, enhancing comfort and efficiency in daily living. Key Words: IoT, 2-Channel Relay, Bluetooth Module(Wifi), Led Bulbs, AC Fan, Temparature, Light Sensor, Power Supply, LCD, Blynk And Home Voice Control App, Orphanage And House 25 DTK 52
Abstract Diploma of Electronic Engineering (ComPUTER) PRECISION AGRICULTURE MONITORING JELSON JOY A/L GEORGE Politeknik Sultan Idris Shah Abstract The introduction provides an overview of the project, highlighting the importance of precision agriculture in modern farming practices. It introduces the problem statement and outlines the objectives of the project, setting the stage for the reader to understand the significance and goals of the endeavor. Next the problem statement of the project is farmers struggle with manual irrigation methods, leading to water inefficiency and poor crop growth. Inaccurate irrigation practices result in water wastage and reduced crop productivity. Traditional monitoring methods lack precision and are timeconsuming. The objective of the project enable real-time soil moisture monitoring. Also reduce operational costs for farmers. Ensure intuitive controls for easy use and understanding. The project involves setting up hardware including sensors for temperature, humidity, and soil moisture, along with a water pump for irrigation control. Data is collected via an IoT device and sent to the Blynk app for real-time monitoring. A voice command feature allows users to control the water pump remotely. An algorithm determines irrigation schedules based on sensor data, with manual overrides available through the app. Regular maintenance and user support ensure smooth operation. The result of the project yields an efficient system for remote monitoring and controlling irrigation in agriculture. By integrating sensors, IoT, and the Blynk app, farmers can optimize water usage based on real-time data, potentially increasing yields and conserving resources. Lastly, conclusion of the project is demonstrates the effectiveness of IoT-based precision agriculture, enabling remote monitoring and efficient irrigation control for improved crop management and resource conservation. Key Words: IoT, Water Pump, Relay, Moisture Sensor, ESP 32, DHT 11 Sensor, LCD, Power Supply, Blynk And Soil Moisture App, Paddy Field 26 DTK 53
Abstract Diploma of Electronic Engineering (ComPUTER) SMART SWITCH MUHAMMAD HAZWAN BIN MOHD HAIRANI Politeknik Sultan Idris Shah Abstract Smart sockets help users reduce electricity costs by monitoring and controlling home appliances without affecting user comfort level, and this overall experience eventually served as the basis of modern smart home concepts. Research conducted by The National Building Controls Information Programme identifies the link between energy consumption in buildings and control-related problems. This study demonstrates that most of the problems related to inefficiency in building energy utilization systems from control problems linked with input devices, software programming, and operator interference. With reference to the said requirements for energy and management, smart sockets have a few design problems, such as being equipped with a voltage signal in an attempt to avoid voltage sensor utilization, which may lead to inaccurate information and simplified programming code used in power and energy calculations. Such drawbacks have motivated this research to develop an accurate and controllable smart socket using the low-cost Arduino, microcontroller and Esp32. Key Words: safety, smart, save energy 27 DTK 54
Abstract Diploma of Electronic Engineering (ComPUTER) I-KEY SYSTEM SUDIRMAN BIN ZAINI Politeknik Sultan Idris Shah Abstract Produk I-Key System dibina bagi menganalisis status keberadaan kunci melalui sistem data. Aplikasi I-Key System bertujuan bagi memberikan maklumat terhadap pengguna yang mengakses terhadap kunci tersebut. Objektif I-Key System bagi memperbaharui kaedah penyimpanan kunci manual dan bentuk rekod yang kurang efektif yang dapat mengelakkan maklumat yang tidak tepat. Ini dapat menambahbaik kaedah penyimpanan kunci yang manual kepada kaedah penyimpanan yang berasaskan sistem yang dapat diakses dengan lebih mudah. Hal ini menjamin kesahihan terhadap kunci yang diakses memberikan respon yang baik dan tepat. Pada peringkat ujian, I-Key System diuji yang memberikan responden 80% dapat mengenalpasti waktu ketika kunci diambil dan diletakkan semula dari hasil keluaran data di sistem. 69% menyatakan I-Key System lebih efektif berbanding kaedah penyimpanan kunci manual yang selalu diterapkan oleh masyarakat dan 85% yang berminat untuk membeli jika terdapat dalam pasaran. Bagi mempertingkatkan kualiti produk ini adalah dengan menambahkan fungsi dan ciri keselamatan sedia ada. Pengguna produk I-Key System memberikan respon yang positif terhadap penerimaan ini mengambarkan bahawa produk ini dapat memberikan impak dipasaran. Key Words: Kunci, I-Key System, Sistem 28 DTK 55
Abstract Diploma of Electronic Engineering (ComPUTER) FINGERPRINT ATTENDANCE NABIL AIMAN BIN CHE KADIR Politeknik Sultan Idris Shah Abstract The fingerprint attendance project aims to develop a system that utilizes biometric data, specifically fingerprints, to track and record attendance. This system offers a more secure and efficient alternative to traditional attendance methods. Traditional attendance systems often rely on manual record-keeping, which can be time-consuming, prone to errors, and susceptible to fraud. This project addresses these issues by implementing a fingerprint-based attendance system. The objective of this project is to create a reliable and accurate attendance tracking system using fingerprint biometrics. The system aims to automate the attendance process, enhance security, and improve efficiency. The project utilizes fingerprint recognition technology and integrates it with an attendance management system. The methodology involves collecting fingerprint data, developing algorithms for fingerprint matching, and implementing the system using appropriate hardware and software components. The result of the project is a functional fingerprint attendance system that accurately records and tracks attendance. The system successfully identifies individuals based on their unique fingerprints, ensuring reliable and secure attendance records. Based on the project implementation, it is recommended to regularly maintain and calibrate the fingerprint sensors to ensure optimal performance. Additionally, providing user-friendly interfaces and clear instructions can enhance user experience and adoption. In conclusion, the fingerprint attendance project has successfully developed a reliable and efficient system for tracking attendance using biometric fingerprint data. The system offers improved accuracy, security, and efficiency compared to traditional methods. It provides a viable solution for organizations seeking to streamline their attendance management processes. Key Words: Fingerprint Attendance, Efficiency, Attendance tracking 29 DTK 56
PRODUCT PITCHING GROUP DEP4A AISKRIM ASKOK 01 MUHAMMAD HAKIMI BIN MOHAMAD MISWADI, MUHAMAD NABIL HAKIMIN BIN AZIZ, ZURI BIN HASSAN HAA! 02 AHMAD HARITH NAJWAN BIN KAMARUZI, NURUL AINI BINTI MOHD SAMAN, NURUL ANIS NATASHA BINTI ABDUL SAMAT SWEETBITES ENTERPRISE 03 MUHAMMAD HAIQAL BIN FIRDAUS, KHAIRUL NAZMIER AZIR BIN MOKHTAR, LEE SIU JIAN POPIA PRYVT 04 AHMAD SOLEHUDDIN BIN MASSUTI, AKHADIYAT EMRY BIN MOHD FAIZAL, MUHAMMAD NUR FARISZUDDIN BIN AZMAN SAM’S 05 NUR ATHIRAH BINTI MOHD ZAHIZ, MISALINI A/P MAGENTHRAN, SHESVEEN A/L MATHIVANAN WAK CAFE 06 MUHAMMAD DANISH BIN MOHAMAD RIZAL AZUAN, SAIFUDDIN BIN MOHD YUNOS, AMIR REDHUAN BIN KAMARULSYAHNIZAM LEMONNN 07 ABDUL MUIZ BIN ROSLI, MUHAMMAD SYAHIRRUDIN BIN ZOLBAHARE, MOHAMMAD FAIRUZ BIN JUSMAN 57
PRODUCT PITCHING GROUP DTK4A JOGIZPASTA 08 HUZAIRIE AQMAL BIN MOHD HUZAINI, NABIL FIKRI BIN MOHD YAJID, AFIQ IKHWAN BIN MOHAMAD, MUHAMMAD HAFIDZ BIN SAMSUDIN AZNS COMPANY 09 MUHAMMAD NURHANNAN BIN MOHAMMAD KHAIR, MUHAMMAD SHAHRUL AZRI BIN BASRIL, ARZEELI BIN RAMAN, NIK AMEER SYARIFUDDIN BIN NIK ABD. AZIS CRUNCHYBITEZ POPIA 10 FATIMATUZZAHRA BINTI MOHD FAUZY, NUR QURRATUAINI BINTI ROSLAN, NAHDATUL NABILA HUSNA BINTI FAIZAL, PARVINA A/P SIVAKUMARAN POWER DENDENG PUFF 11 NURUL FARHANAH BINTI FAKHRUDDIN, NUR UMAIRA FAQIHAH BINTI NOR MOHD SANI, SITI NAJIHAH HANUM SURIA, AINA MAISARAH BINTI MURYONO, NURFARAH HUDA BINTI MOHD NAWAWI 58
PRODUCT PITCHING GROUP DTK4A SAHA OAT BAR 12 MUHAMMAD AZRIQ BIN ABD AZIZ, AMIRUL HUSNI HAKIM BIN ABD.RAHIM, NURUL SYAFIQAH BT ZAIDATUL AKBAR, AKMAL RIZAL BIN SELAMAT ADID POPCORN 13 MUHAMMAD IRSHAD BIN NOOR AZMAN, MUHAMMAD DANISH AQIL BIN AHMAD KHALIL, MOHAMAD ATIQ IZZUDDIN BIN AZMAN, DANISH AIMAN BIN SAHALAN DONAT ESCOBAR 14 EMAN FERAS KAMEL BIN MOHAMAD JAIS, MUHAMMAD ARSHAD BIN AZMI, MUHAMMAD AQIL NABIL BIN MUHAMMAD NAZRI, MIZAN IRFAN BIN MOHD FAIZAL QAZA DIMSUM 15 MUHAMMAD AZIM SAFWAN BIN SHUKRI, MUHAMMAD AFFY BIN SHAHRUL NIZAM, MUHAMMAD DANISH ZAMIL BIN NOORZAINI, QUWAIS BIN MOHAMAD ZANI 59
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