On March 8, 2023, Adafruit released the Metro M7 with AirLift and NXP iMX RT1011. This new board is a powerful combination of an Arduino-compatible microcontroller and a WiFi\/Bluetooth-enabled coprocessor. The Metro M7 is designed to be used for a wide range of applications, from home automation to robotics.<\/p>\n
The Metro M7 is powered by an NXP iMX RT1011 processor, which is a 32-bit Arm Cortex-M7 processor with a maximum clock speed of 600 MHz. This processor is capable of running multiple tasks simultaneously and can handle complex algorithms. The board also features a built-in WiFi\/Bluetooth module, allowing users to connect to the internet and other devices wirelessly.<\/p>\n
The board also includes the AirLift coprocessor, which is a low-power coprocessor that can be used to offload tasks from the main processor. This coprocessor can be used for tasks such as audio processing, image processing, and machine learning. The AirLift coprocessor can also be used to control external peripherals such as servos and motors.<\/p>\n
The Metro M7 also features an onboard USB port, allowing users to easily connect the board to their computer for programming and debugging. The board also has an onboard microSD card slot, allowing users to store data and programs on the board.<\/p>\n
The Metro M7 is an incredibly powerful board that can be used for a variety of applications. With its powerful processor, AirLift coprocessor, and built-in WiFi\/Bluetooth module, the Metro M7 is sure to be a popular choice for makers and hobbyists alike. To learn more about the Metro M7, watch the video released by Adafruit on March 8, 2023.<\/p>\n
On March 8, 2023, Adafruit released the Metro M7 with AirLift and NXP iMX RT1011. This new board is a powerful combination of an Arduino-compatible microcontroller and a WiFi\/Bluetooth-enabled coprocessor. The Metro M7 is designed to be used for a wide range of applications, from home automation to robotics. The Metro M7 is powered by […]<\/p>\n","protected":false},"author":2,"featured_media":2527035,"menu_order":0,"template":"","format":"standard","meta":[],"aiwire-tag":[925,1482,14,11,11954,131,17,132,18,134,2887,21,7659,3536,23,2166,3468,28,13018,29,219,682,1171,3207,4255,144,146,729,1399,2790,2913,10498,591,38,2921,158,2928,740,164,50,51,12425,324,1968,11100,1520,57,604,3409,4613,327,60,62,2735,609,173,611,612,176,819,5122,8208,13006,69,616,179,75,6650,78,2239,184,79,5,10,7,8,264,187,622,623,624,4963,4964,3819,191,1938,2375,2982,8908,338,1291,103,5334,108,109,110,111,11324,429,118,340,1866,2768,9,2769,7170,125,6],"aiwire":[23427],"_links":{"self":[{"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/platowire\/2511935"}],"collection":[{"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/platowire"}],"about":[{"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/types\/platowire"}],"author":[{"embeddable":true,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/users\/2"}],"version-history":[{"count":1,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/platowire\/2511935\/revisions"}],"predecessor-version":[{"id":2524536,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/platowire\/2511935\/revisions\/2524536"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/media\/2527035"}],"wp:attachment":[{"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/media?parent=2511935"}],"wp:term":[{"taxonomy":"aiwire-tag","embeddable":true,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/aiwire-tag?post=2511935"},{"taxonomy":"aiwire","embeddable":true,"href":"https:\/\/platoai.gbaglobal.org\/wp-json\/wp\/v2\/aiwire?post=2511935"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}