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Writer's pictureDaniel Moldovan

Raspberry Pi 4 meets AI

Updated: May 10, 2021



Get your Raspberry Pi 4 Model B here: https://amzn.to/2A1d97R


The Raspberry Pi has grown from a hobbyist machine to an IoT developer platform capable of handling even machine learning applications.


The latest version of the Pi, the Raspberry Pi 4 boasts a host of impressive specs, from a more powerful processor to the ability to handle dual 4K displays. The upgrades were intended to specifically address prior concerns from the Industrial IoT (IIoT) community, including a lack of Bluetooth 5 for communicating with remote devices and equipment and true Gigabit Ethernet capability for high-volume data backhaul.


Among its specs, the Raspberry Pi 4 carries: a Broadcom BCM2711 quad-core Cortex-A72 (ARM v8) 64-bit SoC running at 1.5GHz; options for 1GB, 2GB, or 4GB of LPDDR4-2400 SDRAM; built-in Bluetooth Low Energy 5.0; Gigabit Ethernet support; and two USB 3.0 ports.


Pi 4 offers currently a level of performance that could make it an attractive option for embedded engineers looking to develop consumer-grade IoT products.


The most compelling new use case for the Raspberry Pi 4 is for A.I. & machine learning. With the earlier models, you could use a camera to do simple object detection at low frame rates. However, the added performance and I/O from this new model should open up a whole new world of use cases.


Thanks to its boost in processing power, the Pi 4 has shown a significant improvement in inference processing over its predecessors. With an optimized A.I. framework, Pi 4 should be able to do real-time facial and object recognition. Moreover, because it has USB 3.0, an A.I. accelerator like the Google TPU USB dongle will have much more bandwidth to send data back to the SoC.


Of course, as the Pi 4 has a stronger processor on board, compared to the Pi 3 series it generates significantly more heat. This is definitely something to watch out for, particularly for users who may want to experiment with overclocking the Pi 4's processor. Anyone looking to encase the board in their project should probably implement some active cooling as well.


Get your Raspberry Pi 4 Model B here: https://amzn.to/2A1d97R

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