SSIs Presentation (89082)

Transcript

1. Dear SSIs interview panel, I’m Hafiza Asifa Naseer, and I am thrilled to express my sincere enthusiasm for joining the EMJMD Master's Program in Smart Systems Integrated Solutions. I hold a Bachelor's degree in Physics with a specialization in Computational Science, including an exchange semester in the United States focusing on Digital Circuits and Advanced electronics. • Home University: Government College University Faisalabad. • Exchange Semester: Saginaw Valley State University, MI, USA. Besides Academia, I have over two years of experience leading the design and implementation of smart system prototypes, integrating digital circuits for real- time data processing & analysis in IoT domain.
2. Project: TechGuard Proximity System Scope of Work: Implementation of advanced electronic systems to fortify network security, aligning with the ethos of secure smart systems. Overview & Objective: Implementation of cutting-edge electronic systems to enhance security, energy efficiency, power consumption, and smart automation. The main objective was to design a robust system for accurate and efficient people detection using smart sensors. My Role & contribution: As the driving force behind the project, I took on a leadership role in designing and implementing the smart sensor solutions. My responsibilities ranged from conceptualizing the project to overseeing its execution. Relevance to SSIs Program: ❑ Smart System Integration: My project aligns with the SSIs program by illustrating the capability to integrate various components, including sensors and circuits, into a cohesive smart system. ❑ Real-Time Data Processing: The emphasis on real-time analytics addresses the program's focus on dynamic and efficient processing of data in smart systems. ❑ IoT Expertise: My experience in IoT technologies is directly applicable to the SSIs program's objective of providing a comprehensive understanding of interconnected and adaptive solutions.
3. Technology Overview We compared two or more variations of a component to determining which performs better. In our case, it was instrumental in fine-tuning our choice of smart sensors. Testing Parameters: We conducted A/B testing across multiple parameters, including accuracy, response time, power consumption, and adaptability to different environmental conditions. • PIR vs. Ultrasonic vs. Laser vs. Microwave vs. mmWave Radar Sensing Technology Detection Principle Frequency Range Applications Laser Distance Sensor Measures distance using laser light Optical spectrum Precision distance measurement, robotics Ultrasonic Rangefinder Measures distance using sound waves 40 kHz to 200 kHz Proximity sensing, object detection mmWave Radar Uses millimeter-wave frequencies Above 30 GHz Automotive radar, industrial sensing Microwave Radar Uses microwave frequencies Below 30 GHz Security systems, traffic monitoring PIR Sensor Detects infrared radiation emitted Infrared spectrum Motion-activated lighting, security systems
4. System Architecture Key Components: mmWave Radar Module: Emits millimeter-wave signals and receives echoes for object detection. Embedded within the sensor housing. Antenna Array: Receives and transmits mmWave signals, enabling directional sensing. Signal Processor: Processes raw radar data, extracts object information, and performs signal analysis. Control Unit: Manages sensor operations, configures settings, and interfaces with external systems. Digital Communication: Protocols: SPI, I2C, UART. Enables communication with microcontrollers or embedded systems. Wireless Connectivity: Wi-Fi, Bluetooth. Facilitates wireless data transfer and remote configuration.
5. Implementation overview Microcontroller Selection: Microcontroller Raspberry Pi Pico after considering Processing power, compatibility, and support for communication protocols that aligns with the sensor's requirements.“ Development Boards: We carefully integrated development boards Raspberry Pi 4 to facilitate seamless interaction between the mmWave radar sensor and the chosen microcontroller. Considering its compatibility, ease of programming, and scalability. Coding Oversight: My team overseed the coding process, ensuring that the implemented algorithms aligned with our project objectives. Functionality Assurance:My responsibility extended to ensuring the overall functionality of the system, from data acquisition to signal processing, including rigorous testing, debugging, and iterative refinement. Real-Time Operation: Achieving real-time operation demanded Real-time clock synchronization, code optimization, and performance profiling.
6. Future Outlook and Research Interests Major Trends: Rapid advancements in edge computing, AI integration, and IoT convergence define current trends in Smart System Integration technologies. Specific Interests in SSIs Program: I am particularly drawn to the program's emphasis on mobility, providing a diverse academic experience and strong link with industry partners like EPoSS and NCE-MNT. Research Interests & Post-Graduation Plans: My interests revolve around the intersection of IoT, AI, and edge computing, exploring innovative solutions for real-world challenges in smart systems. After completing the SSIs program, I aspire to contribute to the field through industry collaboration, leveraging the knowledge I gained.