Intel has announced a further push into Internet of Things (IoT) and automotive realms with the acquisition of computer vision specialist Itseez.
Announced late yesterday, Intel's acquisition of Itseez for an undisclosed sum comes as the company seeks to refocus on IoT and other embedded realms, an area of the market in which it has long been a minority player, and move away from less profitable areas such as mobile. According to Intel, the deal concentrates on Itseez's computer vision algorithms - software for allowing camera-equipped systems to analyse a scene to do everything from detect movement to pilot a driverless vehicle - which are claimed to be particularly well-suited to embedded hardware platforms and which are in multiple products shipping today.
'Itseez will become a key ingredient for Intel’s Internet of Things Group (IOTG) roadmap, and will help Intel’s customers create innovative deep-learning-based CV applications like autonomous driving, digital security and surveillance, and industrial inspection,' claimed Intel's Doug Davis in the announcement. 'Itseez is also a key contributor to computer vision standards initiatives including OpenCV and OpenVX. Together, we’ll step up our contribution to these standards bodies – defining a technology bridge that helps the industry move more quickly to OpenVX-based products.'
Davis also outlined what he described as the 'three distinct phases' of IoT technology: 'The first is to make everyday objects smart – this is well underway with everything from smart toothbrushes to smart car seats now available. The second is to connect the unconnected, with new devices connecting to the cloud and enabling new revenue, services and savings. New devices like cars and watches are being designed with connectivity and intelligence built into the device. The third is just emerging when devices will require constant connectivity and will need the intelligence to make real-time decisions based on their surroundings. This is the “autonomous era,” and machine learning and computer vision will become critical for all kinds of machines – cars among them.'
Announced late yesterday, Intel's acquisition of Itseez for an undisclosed sum comes as the company seeks to refocus on IoT and other embedded realms, an area of the market in which it has long been a minority player, and move away from less profitable areas such as mobile. According to Intel, the deal concentrates on Itseez's computer vision algorithms - software for allowing camera-equipped systems to analyse a scene to do everything from detect movement to pilot a driverless vehicle - which are claimed to be particularly well-suited to embedded hardware platforms and which are in multiple products shipping today.
'Itseez will become a key ingredient for Intel’s Internet of Things Group (IOTG) roadmap, and will help Intel’s customers create innovative deep-learning-based CV applications like autonomous driving, digital security and surveillance, and industrial inspection,' claimed Intel's Doug Davis in the announcement. 'Itseez is also a key contributor to computer vision standards initiatives including OpenCV and OpenVX. Together, we’ll step up our contribution to these standards bodies – defining a technology bridge that helps the industry move more quickly to OpenVX-based products.'
Davis also outlined what he described as the 'three distinct phases' of IoT technology: 'The first is to make everyday objects smart – this is well underway with everything from smart toothbrushes to smart car seats now available. The second is to connect the unconnected, with new devices connecting to the cloud and enabling new revenue, services and savings. New devices like cars and watches are being designed with connectivity and intelligence built into the device. The third is just emerging when devices will require constant connectivity and will need the intelligence to make real-time decisions based on their surroundings. This is the “autonomous era,” and machine learning and computer vision will become critical for all kinds of machines – cars among them.'
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