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EV45Y33A

Name: Microchip EV45Y33A
Brand: Microchip Technology
SKU: 579-EV45Y33A
Price: 7650.77 INR
Availability: InStock

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Mouser No:

579-EV45Y33A

Mfr. No:

EV45Y33A

Mfr.:

Microchip Technology

Description:

Multiple Function Sensor Development Tools ML-BOSCH with IMU-2

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Learn more about Microchip Technology EV45Y33A

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	₹7,650.77	₹7,650.77

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	Microchip
Product Category:	Multiple Function Sensor Development Tools
Product:	Evaluation Kits
Tool Is For Evaluation Of:	SAMD21G18
Brand:	Microchip Technology
For Use With:	SAMD21G18 Microcontroller
Product Type:	Multiple Function Sensor Development Tools
Factory Pack Quantity:	1
Subcategory:	Development Tools

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CNHTS:: 8543709990
USHTS:: 8473305100
ECCN:: 5A992.C

Sensor Development Kits

Microchip Technology Sensor Development Kits make it possible to accomplish a specific task or act as a use case for design projects. These simple and flexible development kits help realize project needs by supporting multiple sensor technologies, devices, and architectures.

Engineering Development Tools

Microchip Technology Engineering Development Tools offer a range of boards to support silicon products, from simple boards to high-end debug tools. These tools can be used in various applications and specific vertical markets like metering, motor control, and power supplies. These boards include analog and digital IC, communication, development software, embedded, optoelectronic, power management, RF/wireless, and sensor development.

Machine Learning

Microchip Technology Machine Learning (ML) involves selecting software and hardware tool kits, reference designs, and silicon platforms where a simplified, easy-to-use environment with advanced performance is required. Microchip Technology ML algorithms are easy to collect and organize data, train neural networks in data centers, or implement optimized inference on the edge. The extensive Microchip portfolio of silicon devices includes microcontrollers (MCUs), microprocessors (MPUs), and Field-Programmable Gate Arrays (FPGAs). The software toolkits allow the use of popular ML frameworks, including TensorFlow, Keras, Caffe, and many others covered by the ONNX umbrella, as well as those found within TinyML and TensorFlow Lite.