• Embedded Systems
  
  • 8051, PIC, AVR Development Boards
  • Atlys Spartan 6 Development boards
  • Texas Instruments MSP430, ARM Cortex Launchpad
  • X Gate Dual Core Co-processor Freescale Microcontroller boards
  • Development kits - 32 Bit Freescale Power PC, LPC2378, LPC2148, LPC2129
  • Bluetooth Development board
  • Wi-Fi Development board
  • FRDM Kinetis Cortex M0 Evaluation kit
  • Raspberry Pi 2 & 3 Modules
  • Pi Camera modules
  • Arduino Uno boards
  • Active & Passive RFID Workstation
  • GPS & GSM Receivers
  • NFC Reader

• National Instruments LabVIEW

• NI CRIO / PXI based IO with LabVIEW
• NI Vision System
• Portable Data Acquisition Module (CDAQ)
• myRIO with ARM Cortex
• PXI Workstation

• Spectrum Analyzer
• Digital Oscilloscope
• Keithley High precision Multimeter
• Signal generators
• Configurable Power supplies
• Fluke Clamp meter for High current measurement

• CANoe V7.1
• CANoe Option .LIN
• CANoe Option .MOST
• CANoe Option .FlexRay
• CANcaseXL V2.0

• This lab has the following facilities:
  
  • PCB fabrication upto 2 layers with PTH
  • Anti Lock braking System(ABS) simulator
  • Engine management system(EMS) simulator
  • dSPACE V5.0
  • MATLAB 2017

Open Source programming and big data analytics lab

This lab focus on the following areas

• Android app development 
• Big data analytics - HADOOP
• Artificial intelligence
• Advanced Driver Assistance System(ADAS) 
• Convolutional Neural Networks(CNN) 
• Machine learning
• Computer vision
• Deep learning -PYTHON,MATLAB

Sensors and ECU development Lab

The Sensors and ECU Development Laboratory focuses on designing, testing, and integrating sensors and electronic control units (ECUs) for applications in automotive and industrial systems, including advanced driver-assistance systems (ADAS) for solar electric vehicles. Key activities include developing and calibrating sensors for parameters such as temperature, pressure, and environmental conditions, creating ECUs for system control, and integrating these components to enhance performance. The lab outcomes include improved system efficiency, enhanced safety features like collision detection and lane-keeping assistance, reduced emissions, and innovative applications in smart cities and IoT. Additionally, it contributes to academic research and industry standards while training the next generation of engineers, fostering advancements in sensor technology and control systems for sustainable transportation

This lab focus on the following areas:

• ECU development 
• Automotive protocols 
• Electric vehicle development
• Embedded system design
• Model based design
• Circuit simulation
• Hardware implementation