Textile Engineering Final Year Projects 2026 — Smart Textiles, Fabric Inspection, Nano Fibres, Sustainable Textiles & More for BE, BTech, MTech in Bangalore
The textile industry is undergoing a dramatic transformation in 2026, driven by smart textile innovation, IoT wearable fabric sensors, AI-powered fabric defect detection, nano fibre membrane technology, sustainable and eco-friendly dyeing processes, RFID-based supply chain traceability and technical textile applications in civil, medical and defence sectors. At ProjectsatBangalore, we offer 15+ IEEE 2026 textile engineering final year project topics for BE, BTech, MTech, Diploma and PhD scholars in Bangalore — covering smart textile projects, e-textile projects, fabric defect detection projects, automated yarn quality inspection projects, sustainable textile dyeing projects, electrospun nano fibre projects, conductive fabric projects, geotextile monitoring projects, medical textile projects, RFID textile tracking projects, digital textile printing projects and automated loom control projects.
Every textile engineering project comes with a complete hardware kit (Arduino / ESP32 / Raspberry Pi + sensors), Python / MATLAB / Arduino source code, simulation files, IEEE Xplore 2026 base paper, VTU / Anna University / JNTU formatted project report, PPT and viva Q&A support. All textile projects for final year BE/BTech students are delivered on time with unlimited revision support.
Tools & Platforms Used in Textile Engineering Projects
Industry-standard hardware, embedded platforms, computer vision libraries, simulation tools and IoT platforms used to build, test and validate all textile engineering final year projects in our Bangalore lab.
15+ IEEE 2026 Textile Engineering Project Topics with Tools
A curated shortlist of IEEE 2026 textile engineering project topics for BE, BTech, MTech and Diploma scholars in Bangalore — spanning smart textiles, fabric quality control, sustainable dyeing, nano fibres, automation, technical textiles and supply chain management. Every topic includes source code, hardware guidance, project report, PPT and viva support.
| # | Textile Engineering Project Title | Student Level | Core Tools & Hardware |
|---|---|---|---|
| 01 | IoT-Enabled Smart Wearable Garment for Real-Time Body Temperature, Heart Rate and Perspiration Monitoring Conductive silver-coated yarn stitched with flex PCB-mounted DHT22 (temperature/humidity), MAX30102 pulse oximeter and GSR sweat sensor. ESP32 transmits readings via BLE to a mobile app and AWS IoT dashboard. |
BE / BTech / MTech | ESP32, DHT22, MAX30102, GSR sensor, conductive yarn, AWS IoT, Arduino IDE, Python |
| 02 | Pressure-Sensitive Conductive Fabric Glove for Hand Gesture Recognition and Assistive Control Velostat piezoresistive fabric sewn into finger segments of a glove detects bend angle. Arduino Nano reads the analog voltage divider matrix and transmits gesture codes via Bluetooth to control a wheelchair or home appliances. |
BE / BTech | Arduino Nano, Velostat fabric, Bluetooth HC-05, flex voltage divider, Python, Proteus |
| 03 | Solar Cell-Integrated Wearable Energy Harvesting Textile for Portable Device Charging Flexible thin-film OPV (organic photovoltaic) cells sewn into a vest fabric using conductive thread. MPPT circuit harvests energy into a 1000mAh LiPo cell. Output charges micro-USB devices. Efficiency tested under indoor and outdoor illumination conditions. |
BTech / MTech | Flexible OPV cells, conductive thread, CN3065 MPPT IC, Arduino Nano, MATLAB, LabVIEW |
| 04 | Graphene-Coated Strain Sensing Fabric for Structural Wearable Motion Capture in Sports Graphene ink screen-printed on lycra textile forms piezoresistive strain gauges at knee and elbow joints. Change in resistance measured by Wheatstone bridge + ADS1115 ADC. Raspberry Pi processes real-time motion data and plots joint angles. Designed for athletes and physiotherapy. |
MTech / PhD | Graphene-printed fabric, ADS1115 ADC, Raspberry Pi 4, Python, MATLAB, ThingSpeak |
| # | Textile Engineering Project Title | Student Level | Core Tools & Hardware |
|---|---|---|---|
| 05 | Machine Learning-Based Automated Fabric Defect Detection System Using CNN and Image Processing A motorised roller conveyor feeds fabric under a 12MP USB camera. Python + OpenCV captures frames; a custom ResNet-18 CNN (trained on TILDA textile texture dataset, 8 defect classes) classifies defects. A servo-actuated pneumatic rejector removes defective rolls. Real-time accuracy >96% on cotton and polyester weaves. |
MTech / PhD | Raspberry Pi 4, USB Camera 12MP, Python, OpenCV, TensorFlow, Servo actuator, TILDA dataset |
| 06 | Real-Time Automated Yarn Quality Inspection Using Computer Vision and Spectral Analysis A laser micrometer + USB macro lens camera captures yarn diameter and twist angle at 1000 rpm winding speed. Python computes CV% (coefficient of variation), hairiness index and pilling tendency using Fourier spectral analysis. Results logged to an AWS S3 quality dashboard and compared with IS:1670 standard limits. |
BTech / MTech | Arduino Mega, Laser micrometer, USB macro camera, Python, OpenCV, NumPy, AWS S3 |
| 07 | Colour Fastness and Shade Variation Detection in Dyed Fabric Using Spectrophotometer and IoT AS7341 11-channel visible light spectrophotometer mounted on a servo-driven scanning head measures CIE L*a*b* colour coordinates at 50 sampling points across a dyed fabric roll. ESP32 computes ΔE (colour difference) against a reference standard and logs results with timestamps to a Firebase cloud dashboard. Triggers alert if ΔE > 1.0 (commercial tolerance limit). |
BE / BTech | ESP32, AS7341 spectrophotometer, servo motor, Firebase, Arduino IDE, Python, Excel |
| # | Textile Engineering Project Title | Student Level | Core Tools & Hardware |
|---|---|---|---|
| 08 | IoT-Monitored Natural Plant-Based Textile Dyeing Process with pH, Temperature and Dye Uptake Optimisation A stainless-steel dyeing vessel equipped with DS18B20 (temperature), pH glass electrode and AS7341 (dye concentration) sensors. Arduino Mega logs dyeing parameters every 30 seconds. A PID controller modulates a heating element to maintain optimal dyeing temperature. K/S value (colour strength) calculated from spectrophotometer readings. MATLAB fits dye adsorption to Langmuir isotherm model. |
BTech / MTech | Arduino Mega, DS18B20, pH electrode, AS7341, PID controller, MATLAB, ThingSpeak |
| 09 | Textile Wastewater Treatment Monitoring System Using IoT Sensors and AI Prediction Turbidity (SEN0189), TDS (DFRobot TDS), pH and temperature sensors monitor an effluent treatment reactor. ESP32 streams real-time water quality data to a ThingSpeak dashboard. An LSTM model (Python / TensorFlow) trained on historical effluent data predicts COD (Chemical Oxygen Demand) and BOD levels 30 minutes ahead — enabling proactive treatment chemical dosing. |
MTech / PhD | ESP32, Turbidity sensor, TDS sensor, pH probe, TensorFlow LSTM, Python, ThingSpeak |
| # | Textile Engineering Project Title | Student Level | Core Tools & Hardware |
|---|---|---|---|
| 10 | Electrospun Polyacrylonitrile (PAN) Nano Fibre Membrane for PM2.5 Air Filtration in Face Masks PAN solution electrospun at 18 kV onto a rotating collector drum produces nano fibres (avg 320 nm diameter, measured by SEM image analysis in Python + OpenCV). Filtration efficiency against NaCl aerosol (EN 149 test) and pressure drop measured. MATLAB models fibre diameter distribution. Results compared with N95 and cotton surgical mask benchmarks. |
MTech / PhD | Electrospinning rig (18 kV HV supply), Python, OpenCV, MATLAB, SEM image dataset |
| 11 | Zinc Oxide (ZnO) Nanoparticle-Coated Antimicrobial Textile for Wound Dressing Application ZnO NPs (sol-gel synthesized) pad-dry-cure applied to a medical gauze substrate. Antimicrobial activity tested against E. coli and S. aureus (disc diffusion method). UV protection factor (UPF) measured using UV/Vis spectrophotometer. ANSYS Fluent models fluid flow through gauze pores for wound exudate absorption simulation. Biocompatibility tested on MG-63 cell line (MTT assay). |
MTech / PhD | UV/Vis spectrophotometer, ANSYS Fluent, Python, MATLAB, SEM, antimicrobial test kit |
| # | Textile Engineering Project Title | Student Level | Core Tools & Hardware |
|---|---|---|---|
| 12 | Automated Dobby Loom Control System Using Arduino and Stepper Motor with Pattern Programming via SD Card Custom Arduino Mega-based controller replaces mechanical dobby pegs. A 20-shaft loom uses 20 solenoid valves (driven via 4× ULN2803A Darlington arrays) to control individual harness frames. Weave pattern programmed as a binary matrix stored on an SD card (FAT32). A NEMA 17 stepper motor drives the main shaft via a G2 microstepping driver. Pattern editing via a 3.2" TFT touch LCD. |
BE / BTech | Arduino Mega, 20× solenoid valves, ULN2803A, NEMA 17, SD card module, TFT LCD, Proteus |
| 13 | AI-Powered Digital Textile Printing Process Parameter Optimisation Using Machine Learning Inkjet digital printing trial data (ink drop size, substrate speed, curing temperature, ink viscosity) is fed to a Random Forest regression model (Python / scikit-learn) to predict colour density (K/S value) and ink adhesion. Model identifies optimal parameter combinations that reduce ink consumption by 18% while maintaining Delta E < 1.5. Results visualised on a Flask web dashboard. |
MTech / PhD | Python, scikit-learn, pandas, matplotlib, Flask, AS7341 spectrophotometer, MySQL |
| # | Textile Engineering Project Title | Student Level | Core Tools & Hardware |
|---|---|---|---|
| 14 | IoT-Based Geotextile Slope Stability Monitoring System with Strain and Moisture Sensing Embroidered PVDF piezoelectric strain sensors and capacitive soil moisture sensors (SHT31) are woven into a warp-knitted geotextile mat installed on a model slope (1:10 scale sandbox). Arduino collects strain and moisture data every 5 min. ESP32 transmits via LoRa (SX1278) to a Raspberry Pi base station. An SVM classifier alerts when slope deformation risk exceeds threshold — tested with simulated rainfall events. |
BTech / MTech | Arduino Mega, PVDF sensor, SHT31, SX1278 LoRa, ESP32, Raspberry Pi 4, Python, SVM |
| 15 | Fire-Resistant Coated Protective Textile Performance Evaluation Using Thermal Imaging and Limiting Oxygen Index Test Phosphorus-nitrogen intumescent flame retardant applied to aramid-cotton blend fabric by pad-mangle-cure. Limiting Oxygen Index (LOI) measured per ASTM D2863. Thermal conductivity tested with a guarded hot plate. An MLX90640 thermal array camera (Arduino + Processing) maps heat flux distribution through the fabric during flame exposure. ANSYS Mechanical models residual tensile strength post-burn. Results benchmarked against EN ISO 11611 welding protective standard. |
MTech / PhD | MLX90640 thermal camera, Arduino Mega, Processing, ANSYS, ASTM test apparatus, Python |
| # | Textile Engineering Project Title | Student Level | Core Tools & Hardware |
|---|---|---|---|
| 16 | RFID-Integrated Textile Supply Chain Traceability System with Blockchain Audit Trail UHF RFID tags (Impinj Monza R6, 860–960 MHz) stitched into garment labels at the spinning mill. RFID reader at each supply chain checkpoint (weaving, dyeing, cutting, packing, retail) scans the tag and logs a transaction to a private Ethereum blockchain (Ganache test network) via a Python web3.py script. A React dashboard shows full garment traceability — origin fibre, processing dates and location history. Scan time <80 ms per garment. |
BTech / MTech | UHF RFID reader, RFID RC522, Arduino Mega, Python, Ethereum Ganache, Web3.py, React |
Project titles are refreshed periodically to stay aligned with current IEEE Xplore and Scopus publication trends in textile technology and materials engineering. Call or WhatsApp us for the full base-paper list, abstract and hardware BOM for any topic above.
Textile Engineering Project Domains
We cover every major domain of modern textile engineering research — from sensor-embedded wearables to high-performance technical textiles — with full implementation and documentation support.
Smart Textile & E-Textile Projects
Conductive yarn, graphene-coated fabric, flexible sensors, body-area network garments, heated textiles, pressure-mapping gloves and solar-harvesting wearable fabric projects — using Arduino, ESP32, Raspberry Pi and IoT platforms.
Fabric Defect Detection & Quality Control
AI-powered image processing, CNN-based weave defect classification, real-time yarn CV% inspection, colour fastness measurement and spectrophotometric quality control — using Python, OpenCV, TensorFlow and YOLO on Raspberry Pi or Jetson Nano.
Sustainable & Eco-Friendly Textile Projects
Natural dye optimisation, IoT-monitored dyeing vessels, effluent treatment monitoring with LSTM prediction, bio-based sizing agent research, water footprint reduction and zero-discharge process simulation — with Arduino, Python and MATLAB.
Nano Fibre & Advanced Materials Projects
Electrospun PAN / PVA / PVDF nano fibres, ZnO nanoparticle antimicrobial finishes, graphene-enhanced conductive textiles, phase-change material thermal regulation fabrics and SEM image analysis — using MATLAB, Python and ANSYS simulation.
Technical & Functional Textile Projects
Geotextile IoT slope monitoring, fire-resistant coated protective fabric, military ballistic composites simulation, filtration membrane efficiency testing, medical wound dressing development and agro-textile UV protection — with ANSYS, MATLAB, Python and textile testing instruments.
Supply Chain Traceability & Digital Textile
RFID garment tagging, blockchain-based textile supply chain audit, AI-powered digital textile printing parameter optimisation, automated loom dobby control, textile ERP integration and textile waste recycling classification using ML — with Python, Ethereum, React and Arduino.
Project Lab Gallery — Textile Engineering Projects, Bangalore
A look inside our textile engineering project and instrumentation lab in Bangalore — smart textile testing benches, fabric defect detection setups, nano fibre characterisation stations, IoT wearable prototypes, dyeing parameter monitoring rigs and technical textile testing equipment for BE, BTech, MTech and PhD scholars.
Smart Textile / IoT Wearable Lab
Fabric Defect Detection Setup
Dyeing Simulation (MATLAB)
Yarn Quality Inspection Rig
Nano Fibre Membrane Lab
RFID Supply Chain Tracker
Automated Loom Controller
Geotextile Slope Monitor
E-Textile Glove Project
Thermal Camera Fabric TestFrequently Asked Questions — Textile Engineering Final Year Projects
🧵 Get Your IEEE 2026 Textile Engineering Project — Delivered in Bangalore
Whether you need a smart textile IoT wearable mini project, a fabric defect detection major project with deep learning, a nano fibre MTech research project or a geotextile technical textile PhD project — our team has 15+ ready-to-implement topics with source code, hardware kits and complete documentation. WhatsApp or call now with your topic, department and submission deadline.