Google is still playing catch-up ball with Android, but its moving fast and has one advantage over Apple--is OEMs can differentiate their offerings--giving consumers features they dont' get from the iPhone.
>> Invensense's MPU-6515 six-axis combo accelerometer and gyroscope chip has enhanced its on-chip digital motion processor to handle new contextual awareness in Android KitKat.
Android embedded is one area I expect to see a lot of growth especially in the emerging market. This is going to be a huge opportunity for the hardware sector as people make embedded systems that can go mobile. Android is that free OS for that. Good to know that XL makers are working in that space now. I know Microchip has some of its latest MCU Android ready
And Invensense is just the first out of the gate--I know of other announcements coming up as vendors scramble to provide OEMs the tools they need to help Google catch up to Apple as well as offer users unique features that differentiate their implementation of Android.
It is exciting that most MCU/MEMS vendors have been showing their muscles since Apple released its latest iPad product with M7 sensor hub coprocessor. It seems most of the exisiting solutions are ARM Cortex-M0/0+ based or comparable solutions, which target extemely energy efficiency but with limited computing capabilities.
Will Cortex-M3/4 based solutions be coming out in the future to meet ever-increasing more complex computing tasks, e.g., 3-D recognition, while still tailored for low energy requirement by other advanced low power design techniques?
Yeah. Apple looks very different. Its M7 used NXP's Cortex-M3 based LPC18A1, of which the ARM core is optimized for performance efficiency. I guess the teams from both Apple and NXP have done a lot of things to improve the coprocessor's power efficiency.
This seems like a very incremental announcement of a so-so drop-in improvement part, in Q4 Invensense is due to have a 9 axis drop-in part which I would far prefer. MEMs inertial parts drift badly and without the magnetometer which the new 6 axis MPU-6515 doesn't have, it is going to get lost rather quickly. If you need contextual awareness in a smart device then a 9 axis part in Q1 will have a far better solution.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.