Qualcomm has unveiled a pair of new system-on-chip (SoC) solutions that were built to bring high-end camera features to mid-tier camera devices. The company specifically highlighted the AI and machine learning capabilities of the new SoCs, noting that the technology can support a number of different smart city, smart home, and smart vehicle applications.
On that front, the Qualcomm QCS610 and QCS410 include Qualcomm’s Kryo CPU and Adreno GPU. They also leverage the Qualcomm AI Engine to generate a 50 percent improvement in AI performance, and the Hexagon DSP to make everything else more efficient. The QCS610 and QCS410 will increase the amount of processes that can be handled on the device itself, which will in turn reduce latency and make it easier to protect people’s privacy.
The SoCs are part of the Qualcomm Vision Intelligence Platform, which is compatible with Linux and Android in addition to Microsoft’s Azure services. The image processing tech can enable facial recognition and computer vision applications, while the modular Qualcomm Neural Processing SDK offers support for frameworks like TensorFlow and ONNX and makes it easier for developers to create custom solutions that meet their individual needs.
The connectivity options, meanwhile, include 4G, 5G, Bluetooth, and Wi-Fi.
“The rise of the IoT and connected devices has created a shift toward the wireless edge,” said Qualcomm Business Development VP Jeffery Torrance. “With the launch of QCS610 and QCS410, we are addressing customer demand for improved AI-features with a variety of connectivity options in a cost-effective solution. This will allow our customers to put these capabilities to work in products from a wider range of ecosystem players.”
Qualcomm is currently in the sampling phase with the QCS610 and the QCS410. The new SoCs arrive more than a year after the QCS400 series, which placed a greater emphasis on smart audio applications.
More recently, Qualcomm and Infinite formed a strategic partnership to accelerate smart city development.
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