TI at electronica India 2025
17-19 September | Bengaluru
Hall 3, Booth D11
TI at electronica India
Reimagine energy efficient, smart and secure solutions
Join us in Bengaluru, where we will be showcasing our latest demonstrations highlighting our comprehensive portfolio of embedded and analog products designed to address challenges in automotive, energy infrastructure, and appliances industries. Whether it is a smart appliance, a safe and efficient electric two or three-wheeler, or a sustainable energy infrastructure solution, we are enabling the next generation of technologies for our customers through continuous innovation.
Reimagine vehicle experiences
Learn more about electric 2-wheeler applications, as this demo showcases different solutions for headlamp and indicators, in-vehicle infotainment, battery management solutions, traction invertor for motor control, radar for blind spot detection and ICs for USB and on-board charging.
See our three-stage AC/DC battery charger for electric two-wheeler applications with deep-discharge support and constant current charging across a 28V-to-58V range. The demo shows how UCC25661-Q1 enables low ripple charging even in deep discharge from TI's novel and patented input power proportional control (IPPC). Reference design has peak efficiency >94% and complies with EMI and THDi standards DC/DC application.
Simplify the transitioning from traditional melting fuses to smart fuses. This demo shows a smart fuse driving a power seat. Interact with the seat buttons to make the seat go up/forward/etc. Press a button to shake the seat and see how the smart fuse detects an overcurrent and cuts off power to the seat, protecting the wires from overheating. After a few seconds, the smart fuse output is recovered and the seat is turned on again automatically.
Reimagine a more sustainable future
Measure continuous currents ranging up to 125Arms and 175Apk using the TMCS114x family, showcasing industry’s highest accuracy hall-effect current sensors with reinforced isolation, built in overcurrent detection, alert functionality for diagnostics and Vref output at high speeds ranging up to 500kHz.
Discover how to preserve processing bandwidth for motor fault detection by using our C2000™ microcontroller to offload the execution of the CNN model from the main CPU. This demo shows a microcontroller controlling two motors while running a convolutional neural network (CNN) artificial intelligence model on its neural-network processing unit (NPU) to detect motor fault.
This video demonstrates how our reference design can help make battery energy storage systems (BESS) safer, reliable and more efficient. It includes battery monitoring unit (BMU) for battery cell voltage monitoring and balancing; high-voltage monitoring unit (HMU) for rack current, voltage and insulation monitoring and battery control unit (BCU) for the whole BMS solution system control.
Reimagine everyday experiences
See how our Total Harmonic Distortion (TDH) reduction algorithm running on our TIEVM-MTR-HVINV evaluation board, controls a three-phase motor in a fan to reduce noise, improve efficiency, while reducing costs using our on-chip PGA. Noise and THD reduction is displayed on our power analyzer.
Our high-speed sensorless motor control is designed to let users easily and quickly spin the motor up to 150KRPM. Featuring the Sensorless (FAST™) FOC along with built-in system features and debugging interfaces for low voltage motors (48V battery based). Ideal for applications like drones, ventilators, cordless vacuums, vacuum robots, and anything else that needs quick startup and high-speed performance.
Discover our design for 65W dual USB Type-C® port power delivery charger featuring an integrated GaN converter for enhanced efficiency and compact design.
Watch accurate people recognition in cameras using vision processors and wireless connectivity devices from TI. This camera demo captures live video, performs machine learning inference, annotates and encodes video at the edge using a single AM62xA Arm-based processor and C33xx wireless MCU to stream over Wi-Fi.
See the latest medical wearables from TI with edge AI capabilities for detecting vital signs and classifying health insights. An on-chip neural processing unit delivers immediate and precise detection of cardiac events, allowing for early intervention or preventative care, while extending battery life.
Highlighting energy-efficient AI for machine vision and robotics using the deep learning accelerator and simplified hardware development with the phyCORE SOM. This demo shows how visual data is pipelined through the AM68A SoC acceleration unit in order to analyze the key points of the human pose annotation, which is then used to control the position of the robotic arm.