Peeyush K. P. currently serves as Assistant Professor (Sr.Gr.) at the Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore Campus. His areas of research include Embedded Systems, Robotics and Instrumentation.





UG Projects Guided 

  • Emergency Automated Medicine Dispensing Machine using Data Mining Approach for Effective Stocking and Stacking of Medicines
  • Area Based Cruise Control and Tablet Infotainment System
  • Automated Attendance Machine
  • Data Logger For Miniature Model Car Using Can Bus
  • Automatic Poly-Farm Controller Using Wireless Sensor Network
  • Low Cost Collision Avoidance System Using Inter Vehicle Communication
  • Android Device controlled Infusion Pump
  • Implementation of cost effective object recognition and sorting robot using embedded image processing technique
  • Gesture based Touchless joypad
  • Electric Vehicle with Charge Drain Control Assist
  • CNC PCB Drilling Machine
  • Intelligent Mobility Solution for Differently Abled

PG Projects Guided 

  • Blood Sample Characterization using Embedded Image Processing Technique
  • Bluetooth enabled low cost  Infusion Pump
  • Vision Module for Stereovision Endoscope
  • Intelligent Autonomous Personal Transport System

Workshops/ Conferences Organized 

  • One Day Workshop on PIC16F877A Microcontroller
  • Two Day Workshop on ARM7 LPC2148 Microcontroller
  • Two Day Workshop on MSP430G2231 Microcontroller
  • Two Day Workshop on mbed LPC1768 Board
  • Two Days Faculty Development Programme on Arduino Serial Board
  • Workshop on mbed LPC1768 based on ARM Cortex M3
  • National Workshop on Signal & Image Processing Applications Using Xilinx System Generator
  • Signal Processing Applications using Vivado System Generator
  • National Workshop on Embedded Design Flow using Xilinx ZynQ SoC.
  • Arduino based Embedded System Design – Anokha 2015.
  • Workshop on Xilinx Vivado System Generator and Analog Discovery Kit
  • Embedded System Design using GOGO Board - Anokha 2016
  • Two Days Hands-on Training on Internet of Things conducted by IETE Coimbatore Centre
  • Two Day Faculty Development Programme on Embedded System Design using ARM7 LPC2148 conducted at Amrita School of Engineering Coimbatore.

Guest Lectures

  • Two Day Workshop in ARM 7 Core Based NXP’s LPC2148  conducted at Coimbatore Institute of  Technology
  • Two Day Workshop on MSP430 conducted at Coimbatore Institute of Technology
  • Three Days Workshop on PIC16F887 and Aurduino at Kalaivani College of Engineering and Technology
  • Two-Day Workshop on Embedded System Design with Hands-on Training on PIC MCU Development Board at Vidya Academy of Science & Technology Thrissur.
  • Two Day National Level Workshop on Simulation of PIC16F in MPLAB in Embedded C at Sri Krishna College of Engineering, Coimbatore.
  • Two Days Workshop on Embedded System Design using PIC Microcontrollers, conducted at Ahalia School of Engineering and Technology, Palakkad, Kerala.
  • One Day Workshop on Embedded System Design using PIC16F887 conducted at Adhiya Instutute of Technology, Coimbatore.
  • Two Days Workshop on Embedded System Design using Arduino conducted at Ahalia School of Engineering and Technology, Palakkad, Kerala.
  • Five Day Faculty Development Programme on Sensors and IoT based Embedded System Vidya Academy of Science and Technology, Thrissur.


Publication Type: Conference Paper
Year of Publication Publication Type Title
2015 Conference Paper A. B. Krishnan and Peeyush, K. P., “Blood group determination using vivado system generator in Zynq SoC”, in IFMBE Proceedings, 2015, vol. 52, pp. 166-169.[Abstract]

Blood grouping is an essential procedure in blood transfusions, donations and other emergencies. An error in grouping or a cross match can have adverse effect on the patient. Conventional way of blood grouping is performed manually on the basis of agglutination of blood in reaction with chemical reagents. The above method can lead to human errors while handling a large number of samples. Various systems have been developed to automate blood typing, but their excess testing time made it difficult during emergencies. This work emphasizes the FPGA implementation of an image processing algorithm to determine the blood group of a person. To do so, it uses plate test and image processing techniques using Vivado System Generator. Edge detection algorithm is performed in the image captured from the plate test. The number of edges determines whether the sample has agglutination or not. By comparing the number of edges in the image, blood group is classified. The proposed algorithm is implemented on a standard FPGA Development Board and its performance is evaluated by calculating accuracy of classification. © Springer International Publishing Switzerland 2015.

More »»
Faculty Details



Faculty Research Interest:

Faculty Email: