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On-device AI acceleration debuts on Motorola smartphones with the Snapdragon Neural Processing Engine

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Motorola’s Moto X is back, and the fourth-generation phone, the Moto X4, powered by the Qualcomm Snapdragon 630 Mobile Platform won’t disappoint. This mid-range phone packs in impressive features like dual rear cameras, an ultra-low light selfie camera, a precision-crafted glass and metal exterior, and an IP-68 water resistance rating. Along with Motorola’s flagship Moto Z2 Force, on the Snapdragon 835, it’s also the first commercially available phone to feature the Qualcomm Snapdragon Neural Processing Engine (NPE) for acceleration of on-device artificial intelligence (AI) user experiences.

Gaining insights with Landmark Detection

Using the Snapdragon NPE, the Motorola original deep learning model uses on-device processing to identify landmarks in near real-time, then provides users with additional information about them.

To activate the Landmark Detection feature, simply point the smartphone at an object of interest, (click on the ‘x’ icon) and the phone is engineered to recognize the landmark using a neural network trained to identify more than 1,200 landmarks from around the world. Compact and efficient Motorola deep learning model is running on Qualcomm NPE which helps accelerate the speed of identification by distributing processing to Qualcomm Adreno 510 GPU (on the Snapdragon 630) and Adreno 540 (on the Snapdragon 835), For additional context, the Landmark Detection feature links to the relevant Wikipedia page for the identified landmark. For travelers, Landmark Detection can make all the difference when exploring a new city. For locals, it’s an innovative way to learn more about sights in their own backyard.

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Learn more about the Moto X4

Accelerating AI with the Snapdragon NPE

The Snapdragon NPE was designed to empower developers and OEMs to create network-driven features that will make users’ lives easier, without sacrificing power or performance. With this AI tool, developers can choose the optimal CPU, GPU, or DSP core for a specific user experience. Utilizing deep neural networks within the Snapdragon mobile platform will also give OEMs the freedom to advance AI in not only mobile devices, but also in automotive, healthcare, security, and imaging products. The Moto X4’s Landmark Detection is only one example of what’s possible for on-device AI.

Learn more about the Moto X4 and the MotoZ2 Force, both now available for purchase.

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More about the Moto X2 Force, second generation

Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc.

Opinions expressed in the content posted here are the personal opinions of the original authors, and do not necessarily reflect those of Qualcomm Incorporated or its subsidiaries ("Qualcomm"). The content is provided for informational purposes only and is not meant to be an endorsement or representation by Qualcomm or any other party. This site may also provide links or references to non-Qualcomm sites and resources. Qualcomm makes no representations, warranties, or other commitments whatsoever about any non-Qualcomm sites or third-party resources that may be referenced, accessible from, or linked to this site.

About the Author
Kristin Wyman
Kristin WymanStaff Manager, Product Marketing, Qualcomm Technologies, Inc.
Qualcomm relentlessly innovates to deliver intelligent computing everywhere, helping the world tackle some of its most important challenges. Our leading-edge AI, high performance, low-power computing, and unrivaled connectivity deliver proven solutions that transform major industries. At Qualcomm, we are engineering human progress.

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