Texas Instruments (TI) introduced two new series of real-time microcontrollers that deliver advancements to help engineers achieve more intelligent and secure processing in automotive and industrial applications. TI’s TMS320F28P55x series of C2000™ MCUs is the industry’s first portfolio of real-time microcontrollers with an integrated neural processing unit (NPU), enabling fault detections with high accuracy and low latency. The F29H85x series is built on TI’s new 64-bit C29 digital signal processor core and offers an advanced architecture with integrated safety and security features
“Engineers increasingly strive to design automotive and industrial applications that are more energy efficient and can make faster decisions, driving a need for more scalable processing power, expanded memory, and on-chip safety and security enablers,” said Amichai Ron, senior vice president, TI Embedded Processing. “For decades, our C2000 MCUs have been enabling manufacturers to measure and efficiently process real-world data. Today’s introduction of enhanced real-time performance and edge AI in our C2000 portfolio will empower engineers to solve more complex problems and reach higher levels of system efficiency, safety and sustainability.”
Empowering smarter, more efficient systems through edge AI-enabled MCUs
Engineers today are challenged to design systems that can make accurate, intelligent decisions in real time to perform functions such as arc fault detection in solar and energy storage systems and motor-bearing fault detection for predictive maintenance. As the industry’s first real-time MCUs with an integrated neural processing unit, TI’s new C2000™ TMS320F28P55x series meets both of these challenges by ensuring consistent performance with real-time processing.
The NPU in the TMS320F28P55x series offloads the execution of the neural network model from the main CPU, achieving five to 10 times lower latency than software implementations to enable faster, more accurate decision-making. Further, the model that runs on the integrated NPU learns and adapts to different environments through training, helping systems achieve greater than 99% fault detection accuracy to enable more informed decision-making at the edge. TI’s complete AI toolchain, which includes models that are optimized and tested for specific applications, helps engineers with any level of experience easily complete the AI model development process.
Texas Instruments | ti.com
Kirsten Campbell is a Marketing Tornado and junk robot of information. Analytical and creative, she has been in marketing and communications since 2008 and worked with everyone from small businesses to your favorite household names.
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