The  NI LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench) Academy is a tailored version of an Internationally recognized curriculum created by National Instruments (NI) .This academy was initiated by signing MOU with National Instruments in August 3rd 2011 and Purchase of software and related hardware as per the academy requirements. The sufficient workspace, requirements and support have been provided by the Management.

The LabVIEW Academy set up at PEC by National Instruments is an initiative under their Planet NI (Nurturing Innovation) framework which strives to increase the employability of Indian engineering graduates by creating Centres of Excellence in engineering colleges which will provide cost effective access to world class latest technology for classroom teaching-learning. To make better engineers the LabVIEW Academy follows the concept of Experiential Education using Graphical system design approach. With a mission to educate students and to discover and disseminate knowledge through research, Prathyusha Engineering College is leading the way towards producing world class engineers tuned to the demands of a fast changing global village . The Academy includes some of the powerful tools like, LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench) and state-of-art Educational Laboratory Virtual Instrumentation Suite (ELVIS) integrated with other hardware/ software to train/ teach on providing customized solutions to industries in various specialized areas related to Test, Measurement & Control....


§  Conducting Training on LabVIEW software and related hardware

§  To Facilitate NI certification to Faculty and students on NI LabVIEW graphical programming and interface with measurement and control hardware..

§  Encourage the students to do experiments beyond the curriculum

§  Facilitate the Engineering students to develop in-house final year real time project

§  Conducting Faculty Development programmes and workshops on LabVIEW for the staff and Students .

§  Competing with globally challenging students with strong knowledge in fundamentals.

§  Internship and Placement opportunity to get in to core engineering industries with help from NI Corporation.

Awards and Achievements

·        Best LabVIEW academy award 2011

·        More than 1000 students from ECE ,EEE,CSE ,IT and Mechanical department have been trained in LabVIEW .

·        50 faculty are trained in LabVIEW Core 1 and Core 2.

·        More than 25 in house projects have been developed in LabVIEW

·        Diyyala N. Chowdry  received the  LabVIEW Student Ambassador award  at 2012

·        DiyyalaN.Chowdry  got internship at National Instruments , Bangalore  at 2013

·        M.Benisha and Diyyala .N.Chowdry did internship projects at Benchmark Technologies at 2013

·        S.Harsha Vardhan Reddy got internship at National Instruments , Bangalore at 2014

·        Best Graphical System Design Lab award 2014

·        Students got selected for placement in Digilogic systems limited ,Captronics solutions, Trident Tech Labs, Electrono Solutions ,etc,.

·        Students got internship at National Instruments, Benchmark Technologies ,Electrono Solutions ,Yashika Industries ,TAAL.

·        22 students have been certified for LabVIEW Associate Developer (CLAD) from National Instruments

·        Ms.S.Malathi ,Ms.P.Kalpana Devi, Ms.M.Sujatha, Ms.M.Priya, Mr.E.DilliRaja ,Ms.T.Kadhambari , Ms.M.Mahalakshmi and Ms.D.Jahnavi are CLAD Certified Faculty from National Instruments

8 CLAD certified Faculty and 22 CLAD certified students

No. of Consultancy work done using LABVIEW

¡  Contract for acquisition of Research  Services (CARS) with CVRDE

                (Arc welding Robot )

¡  ANALYSIS OF SUNSPOT IN GLOBAL SCENARIO USING LABVIEW – Project done by students for Centre for Wind energy Technology .


Course Outline:

LabVIEW Programming Environment: Components of LabVIEW, Data flow, Trouble shooting and debugging VI, Implementing a VI: Data Types, documenting code, while, for loops, Timing a VI, iterative data transfer, plotting data, structures, relating data: arrays, clusters and type definition, Common Design Techniques and patterns: Sequential programming, state machines, architectures, events, timing a  design pattern and event programming, Data Management Techniques: Communicating among multiple loops: Variables, functional global variable, race condition, synchronizing data transfer, File I/O techniques: Low, high and advanced, Data Acquisition and interfacing instruments: Hardware setup, software, Measuring analog input, generating analog output, instrument control: using GPIB, serial port, software architecture, Instrument I/O assistant, VISA and instrument drivers.

Traditional hardware instrumentation systems are made up of pre-defined hardware components, such as digital multimeters and oscilloscopes that are completely specific to their stimulus, analysis, or measurement function. Because of their hard-coded function, these systems are more limited in their versatility than virtual instrumentation systems. The primary difference between hardware instrumentation and virtual instrumentation is that software is used to replace a large amount of hardware. The software enables complex and expensive hardware to be replaced by already purchased computer hardware; e. g. analog-to-digital converter can act as a hardware complement of a virtual oscilloscope, Designing and testing increasingly complex products to meet tight time-to-market demands requires a highly efficient, tightly integrated platform. The LabVIEW system design platform for test, control, and embedded design spans the entire product design cycle, dramatically increasing efficiency and improving the bottom line.



·        LabVIEW Full Development system 

·         LabVIEW Simulation Module

·         LabVIEW Real Time Module

·         LabVIEW FPGA Module

·        . Motion Assistant

·          NI Signal Express


·        ELVIS –II 

·        Biomedical Sensors – Vernier green engineering kit I & II

·        Free scale Microcontroller


Application Domain

• Automotive                                   
• Bio-medical Engineering
• Robotics
• Civil & Structural Engineering
• Metallurgy       
• Mechanical & Production Engineering
• Power                              
• Process Control Design     
• Remote Sensing
• Telecommunications   
• Industrial Automation 
• Image Processing  
• Aerospace 
• Military

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