Amar Agnihotri

Experience

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  IoTIoT.in

  Jan 2023 - Apr 2023

  API Engineer | Gstreamer Plugin Creator

  During my internship, I had the privilege of working on a diverse range of projects, all of which allowed me to deepen my skills in computer vision, C++ programming, and software development in Ubuntu environment.Building a Real-time Face Detection System:🧑‍💻 Developed a robust OpenCV-based face detection system using the YNet FaceDetect model API in C++, with Pistache library powering the server.📸 Created a client application to seamlessly transmit images and video frames for real-time analysis.📺 Implemented dynamic output visualization.🔗 Collaborated efficiently using GitLab for version control.📚 Documented my work comprehensively using Markdown.Building a Real-time Object Detection System:🌟 Designed an efficient object detection system using the ONNX model API in C++📷 Developed a client application to transmit images and video frames for real-time object detection.📺 Implemented dynamic output visualization.🔗 Collaborated efficiently using GitLab for version control.📚 Documented my work comprehensively using Markdown.Enhancing Video Processing with Gstreamer📹 Crafted a high-performance video frame (object/face) detection plugin in Gstreamer, enhancing the speed and efficiency of video processing.🚀 Accelerated real-time analysis for faster outputs. Show less

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  NableIT

  Mar 2023 - Jul 2023

  Software Developer

  During my internship, I had the incredible opportunity to contribute to two impactful projects aimed at improving safety and efficiency in our daily lives.📊 Gate Entry Attendance System: Leveraging my skills in computer vision and machine learning, I played a pivotal role in developing a cutting-edge gate entry attendance system. By utilizing a pretrained Intel model, I helped create a robust and accurate system that streamlined the entry process. This system not only improved security measures but also enhanced the overall experience for employees and visitors.🚦 Traffic Analysis System: Recognizing the importance of adhering to traffic rules for a safer community, I dedicated my efforts to developing an innovative traffic analysis system. Through the power of computer vision, I designed a solution that promotes responsible pedestrian behavior, encouraging individuals to use designated crosswalks such as zebra crossings. This system's real-time insights have the potential to transform the way people interact with urban traffic, fostering a culture of safety and compliance. Show less

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  Nable IT

  Jul 2023 - now

  Software Application Developer

  Throughout my tenure, I led the development and implementation of the following innovative project:🏫 Campus Attendance System : As a software engineer, I took charge of crafting a comprehensive Campus Attendance System, tailored to revolutionize efficiency within educational institutions. This groundbreaking system transformed traditional attendance tracking through the strategic application of cutting-edge technology and a robust architectural framework.The architecture included an intricate network of edge CAS units capturing data across all course venues in the campus, synchronized seamlessly with a central CAS system. I integrated edge CAS system units camera records, seamlessly with course schedules, faculty information, and student attendance details. The system's intelligence processed this data, computing student presence during course hours and thus , enabling a comprehensive analysis of student engagement throughout the campus.Leveraging Django Framework, I also added a dynamic platform allowing different user groups—students, teachers, and administrators—to access, update, delete, and add relevant information. Utilizing Microsoft SQL Server, I implemented triggers for online and scheduled offline synchronization between the central and edge CAS systems, ensuring data consistency and reliability.🚦 Traffic Analysis System (TAS) Enhancements:Expanding on the innovative Traffic Analysis System (TAS), I contributed significantly by incorporating additional functionalities to ensure pedestrian safety and adherence to traffic regulations.Hand in Pocket (PO) & Using Cell Phone (KE): Further augmenting the system's capabilities, I integrated two additional rule aimed at detecting individuals with their hands in their pockets and using cellphone while crossing the road. Show less