AC arc fault detection enabled through edge AI for arc fault circuit interrupters
Our solution provides a cost-effective and reliable way to detect and interrupt faults, meeting the stringent safety standards of UL1699 and IEC62606.
DC arc detection in solar applications with 10 times lower latency and 98% plus accuracy
Cost-effective arc protection meeting global safety standards (UL1699B and IEC63027).
Multi-class motion detection for PIR based building security with >98% accuracy
Single PIR sensor based solution for differentiating between multiple sources of motion leverarging a MCU-scalable Edge AI solution.
Motor bearing fault classification and detection for AC drives with single MCU and 98% plus accuracy
Protect AC motor drive designs with high-accuracy AI based motor fault classification.
Fan blower imbalance detection in HVAC systems with MCUs and 98% plus accuracy
Reduce noise, improve efficiency, increase reliability of HVAC system by detecting fan-blade imbalance early with TI's MCUs.
AC grid fault detection in on-board chargers enabling edge AI detection up to 95% accuracy
Deploy cost-effective edge AI solution on existing OBC control MCU to detect grid voltage anomalies.
Enable MOSFET junction temperature prediction within 1°C RMS accuracy with edge AI technology
Operate power converter MOSFETs within rated junction temperature for safety and long-term reliablity using edge AI models.
Digit recognition with TI's microcontrollers (MCUs)
Edge AI digit recognition in a compact, low-power device footprint on cost and power optimized models for MCU solutions.
Edge AI-enabled ECG wearable with 10x lower latency
Extend the battery life of wearable medical devices by using edge AI with low-power sensors for immediate and precise detection of cardiac events.
Gearbox fault detection using vibration sensors with over 99.9% accuracy
Ensure gearbox reliability with accurate falult detection using AI-accelerated chip.
Rotor temperature prediction using multiple sensors with R-squared value over 96.9%
Ensure rotor reliability and provide condition monitoring with accurate temperature prediction using AI-accelerated devices.
Linear actuator fault classification with accuracy over 99.9%
Ensure linear actuator reliability and provide condition monitoring with current sensors and accelerometers using AI-accelerated devices.
Object detection in vision systems with 25x lower latency
Find and localize specific objects, people in real-time at high framerate with AI-accelerated processors and industry-standard software.
Visual defect detection in factory automation
Detect manufacturing defects on the factory line at low latency with machine vision and on-chip AI acceleration.
Pixel-level Segmentation for navigation and perception with 40x lower latency
Detect fine-grain obstacles and pathways from imagery in real-time using C7™ NPU equipped processors.
People detection across diverse settings in real-time
Detect people in a wide variety of scenes with vision-based AI in >120 FPS using AI-accelerators.
Intelligent surface classification for radar based mobile robotics
Our radar solutions supports Edge AI applications from a single sensor that accurately differentiates several surfaces in real world applications.
Intelligent object classication for radar based presence detection
Our integrated radar enables Edge AI to accurately detect and differentiate humans, animals, and objects from a single sensor in real time.
Smart pose estimation for radar based occupany detection
Accurately determine different human poses with our integrated radar edge AI optimized devices.
Intelligent hands-free access in vehicles with 95% accuracy
Our fully integrated radar supports edge AI from a single sensor that accurately detect kick and step gestures for trunk access.
Smart child presence detection with >95% accuracy
High-resolution radar with edge AI from a single sensor that accurately detect life and classify children accurately and minimizing false detections.
Vision AI-assisted retail checkout scanners in real-time
Boost efficiency in retail and barcode scanners with fast vision AI models using NPU's
Bird's Eye View (BEV) in L2/L2+ advanced driver assistance systems (ADAS)
High-performance whole-vehicle perception with BEV networks on TI's AI-accelerated processors
Edge AI wake word and command in partnership with Sensory
Sensory's TrulyHandsfree-Micro on-device processing eliminates cloud dependency, saving energy, enhancing privacy & reducing server costs.