Arjun Rajput

• Developed software for a vehicle diagnostic tool using Wind River Linux, using protocols like DoIP, CAN FD, and Ethernet.
• Developed a DMS application in Linux using four camera streams with GStreamer.
• Created a Git hook pipeline to increase software integration time by 30%.

PROJECT 1 - SMART DRONE PARCEL RECEIVING SYSTEM

• Implemented GStreamer pipeline and API to stream light weight camera feed from Embedded device (ARMv7) 32 bit with Custom Media Server.
• Contributed to Add Support for the UVC Camera through the Kernel Layer.
• Implemented Access control Hardware like RFID,Barcode and Camera with functional Firmware.
• Implemented the provision to open/close top door using Actuator with the Functional Firmware.
• Contributed in Benchmarking of Different Soc for Consideration of PCB Upgrade
• Implemented simple Face detection and speech recognition algorithms using openCV
• Build light weight Linux with manual dependencies of library using Yocto For the Quectel SC20 inside Docker.
• Achieved clean, robust code using Embedded Linux for high-performing, functional systems.

PROJECT 2 - ADAS on Renesas R-Car V3H.

• Implemented real-time streaming from the rear camera to the infotainment display.
• Contributed to developing real-time 360° video stitching from four AHL cameras using OpenCV.
• Contributed to develop the Driver Monitoring System (Drowsiness Detection, Object Detection).
• Assessed real-time performance, and ensured it met requirements ahead of implementation.

• Worked along with a team of embedded developers to design, test, and commit firmware used for IP cameras using GStreamer and FFmpeg APIs.
• Worked with a team to achieve the target of reducing the overall size of the firmware from 32 MB to 8 MB.
• Worked with RTMP/RTSP and NGINX services to implement and manage numerous media servers inside a virtual machine.
• Worked with MQTT, socket programming, and used different IDEs like Wireshark, Eclipse, and Kitty to test and design different APIs.
• Implemented features like OTA, archive recording, motion, and sound events for IP cameras.