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Embedded Automation Lab

About Embedded Automation Lab

        This Center of Excellence is designed to provide a comprehensive and technically intensive environment centered on LabVIEW-based graphical system design, while extending its capabilities to Embedded C programming and integration with widely used embedded platforms such as Arduino and Raspberry Pi.

The primary focus is on developing data acquisition, signal processing, and control applications using LabVIEW, including Virtual Instrument (VI) development, modular architecture, and real-time data visualization. Students work extensively with NI hardware platforms (such as DAQ and myRIO) for high-speed interfacing, measurement, and automation tasks.

In addition, the lab broadens its scope to include hardware–software co-design using Embedded C on microcontroller-based systems. Students interface a variety of sensors like temperature, pressure, motion, etc. with platforms like Arduino and Raspberry Pi, enabling the development of IoT-based and standalone embedded applications. Integration between LabVIEW and these platforms is explored through serial communication and network protocols for real-time monitoring and control.

The laboratory emphasizes practical implementation real-time system design, hardware interfacing, and performance optimization. It supports rapid prototyping, system validation, and interdisciplinary project development across domains such as smart systems, industrial automation, and instrumentation.

Overall, the lab equips students with strong expertise in combining graphical programming with embedded system development, preparing them to design scalable, intelligent, and industry-relevant solutions.

Objectives:

  • To provide a comprehensive platform for students to explore Embedded Systems and Graphical Programming approaches.
  • To facilitate hands-on learning through project development across diverse domains,
  • To encourage innovation and interdisciplinary research by offering practical exposure to cutting-edge technologies.

Outcomes:

Develop foundational skills in Embedded Systems and Graphical Programming for real-time application design.

Build and execute innovative projects across IoT, Signal Processing, ML, and DL domains.

Apply interdisciplinary knowledge and advanced technologies to solve real-world problems with an innovative mindset

Batch No.Roll NumberName of the studentTitle of the projectMentor
122211a0450C.GAYATHRIIntelligent Embedded IoT Energy Meter Using AI for Real-Time Theft Detection and Load Forecasting.Dr.K.Rambabu
22211a0412A.BHAVANI
22211a0401A.VAISHNAVI
222211a0402MANOJ REDDYHybrid Behavior-Based Intrusion Detection System (HBIDS)Dr.Shaik Shafi
22211a0442CH ABHILASH
22211a0437SNEHIL
322211a04c8K.JEEHARSHITHAReal-Time Crowd Monitoring and Emergency response SystemDr. Shaik Shafi
23215a0413G.SONY
23215a0414J.VARSHITHA
422211a0475G.NAVYAEnhanced Brain – Computer Interface Architecture Utilizing Machine Learning And Artificial Intelligence AlgorithmsMr.E.Bharat Babu
22211a0481G.VYSHNAVI
22211a0487J.DEEPIKA
522211a0479RAMSmart waste segrgation and monitoring with real-time dashboard using edge AI and IOTDr. K. Rambabu
22211a0493KARTHIK
22211a04b1HEMANTH
622211a0466E.TEJUEnhancing Accuracy and Efficiency in AI and
 IoT-Based Smart Road Accident Detection
 and Emergency Reporting System
Dr.K.Rambabu
22211a0470G.NANDINI
22211a04c2K POOJA
722211a0490RUTHUMANI.JAI-Based Smart BMS Using STM32 for Electric Vehicles with Improved Charging Efficiency and Predictive Fire Protection AccuracyDr.K.Rambabu
22211a04a9SAI PRIYA.K
823215a0410ANDOLE SIDDARTHAAnimated AI Interviewer CoachMr.Syed Munavvar Hussain
22211a04c7SRI CHARAN
22211a04b3KARTHIK
922211a04D1K.NAVYA SREEBrain Scan AI- Early Detection Of Brain TumorsMr.T.P.Kausalya Nandan
22211a04D5M.MANJUSHA
22211a04h4P.SAHITHI REDDY
1022211a04f0SAI RAMHeart Disease Risk Prediction System Using Machine Learning with Real-Time Web InterfaceMr.Syed Munavvar Hussain
22211a04j3P.SAI DILEEP VARMA
22211a04j6P.ADITYA VARMA
1122211a04d6MADAS SHIVANIAutomated Identification Of Diabetic Retinopathy From Fundus Images Using Faster R-CNN ArchitectureMrs M Anusha
22211a04f5MOHAMMED KAIF
22211a04h6P.SREE MITHRA
1222211a04g7SHRAVANIREDDYcomparative analysis of ECG signal classificationMrs.M.Anusha
22211a04g2SRAVANI
22211a04g1PAVANI
1322211a04L8S NAGENDRAAI-Driven Resume Screening and Candidate Ranking Web ApplicationMr. T. P. K Nandan
22211a04q2SIDDHARTHA V
22211a04p3ADITYA RAJ SINGH
22211a04q6V BHUVAN
1422211a04m8S.PRANATHISmart screen AI- assisted cell-level Cancer detectionMr.E.Bharat Babu
22211a04n4S.MANOJ
22211a04L7Sangyam Arunsai
22211a04k6RAVI PRASHANTH
1522211A04G0M.LAXMIKANTH REDDYCollaborative energy optimization system using swarm intelligence in industriesMr.P.Subramanyam Raju
22211A04H2P.UDAY RAJ
22211A04H8P.SAI KARTHIK
22211A04K0PULLAIAHGARI SAI KARTHIK REDDY

Differentiators: