IOT

The Qualcomm headquarters in San Diego, California / Photo By  Coolcaesar via Wikimedia Commons

 

An Internet of Things system requires very fast processing speed to support every connected device. It also needs processors that are efficient in battery life and heating management, which proved to be an opportunity to semiconductor company Qualcomm. The said company recently announced its new models of processors specifically designed for IoT.

Qualcomm Supports IoT with New Processors

Qualcomm has been supporting smartphones and tablets for several years with its Snapdragon CPU models. But with the rapid growth in digital devices, IoT is becoming a need in various industries. The chipmaker decided to touch IoT systems by announcing their new CPUs via the Vision Intelligence Platform.

The System-on-Chips QCS605 and QCS603 from the new platform have a size of 10 nanometers which are capable of the following:

- High-performance machine learning capable of analysis, optimization, and debugging.

- Built with power and heat efficiency tools.

- Applicable for consumer smart systems and industrial IoT systems.

- Support for smart security cameras, wearable cameras, smart displays, and more.

- A 4K video resolution at 60 frames per second or 5.7K at 30 frames per second for video streams.

“Our goal is to make IoT devices significantly smarter as we help customers bring powerful on-device intelligence, camera processing, and security,” said Joseph Bousaba, vice president of Product Management at Qualcomm Technologies.

Features mentioned above are essential in IoT because many industries use systems equipped with advanced tech which are interconnected in exclusive networks. For instance, a manufacturing company may connect computers, security tools, equipment programs, and others to a main system. That said system needs more than enough processing power to operate. Also, a platform with high processing power helps developers to create industrial software for manufacturing, shipment, healthcare, and logistics.

In comparison with Qualcomm chipsets for smartphones, the two new SoCs also support obstacle avoidance that can be used in autonomous vehicles and robotics.