The mobile industry is a big driver of the telecommunications industry’s bandwidth requirements, both at the consumer level (the end user of a mobile device) and at the network level. With the rapid growth of 5G technologies comes exciting new frontiers for innovation. At the device level, downlink and uplink speeds require the deployment of incredibly high-speed SerDes links between the apps processor and sensors, displays, and modems.
Similarly, at the data center level, extreme bandwidth demands are driving 400G technology innovation across a large span of network hierarchies. Finally, immersive experiences, machine learning, and edge computing are all creating opportunities for innovation in high-speed interfaces.
Introspect Technology’s unique tools are ideal for design validation as well as production testing of sub-assemblies and entire digital systems in mobile — our tools are used by smartphone makers, drone makers, and IoT component manufacturers. Our equipment is also relied on by state-of-the-art production test houses to provide their customers with testing services that not only meet quality and safety standards, but ensure on-time delivery at the lowest possible costs.
5G and the Rapid Bandwidth Growth
5G delivers an order of magnitude improvement in speed, latency, and density of mobile broadband access. At the heart of these improvements are the high-speed interface links that are used in mobile chipsets. These interface links not only have to transfer tremendous amounts of data, but they must do so while using the least amount of battery power and while not interfering with the antenna RF signals. Introspect Technology’s tools are central to the development and verification of many of the world’s advanced SerDes interfaces including the interfaces used on the mobile chipsets and on high end network equipment.
Camera specifications under development by leading industry alliances are starting to cater specifically to vision applications, incorporating features such as in-sensor processing and in-sensor region of interest analysis. To provide this much sensor data to any processing engine, these specifications require extremely high resolution pixel arrays that can sample light at extremely high frame rates.
The need to characterize the pixel arrays, to transfer their images in real time, and to ensure high-speed operating link margin is addressed completely by Introspect Technology. Our tools offer an ideal mix of instrument-grade hardware and professional software to create limitless validation and optimization scenarios for vision-enabled cameras.
Cameras and Sensors
When it comes to taking photographs, next-generation smartphones are likely to continue deploying the highest quality optics as well as the highest resolution sensing arrays. Next-generation smartphones will also continue to rely on computational photography, and this has a direct correlation with the bandwidth and capability requirements of the interface links.
At Introspect Technology, we are thrilled to work with leading image sensor and image signal processing manufacturers in order to help with the design, validation, and quality assurance of their components and modules.
Augmented Reality and Virtual Reality
Augmented reality and virtual reality systems are still in their infancy, but they already represent true technological marvels, incorporating high resolution sensors, display drivers, touch interfaces, and position or gyroscopic sensors. All of these technologies pour into powerful processing engines that help create rich and immersive experiences. Introspect Technology’s multi-port tools enable the highest efficiency in testing and validating multiple sensor or display interfaces simultaneously, giving development engineers and validation engineers high confidence in their final products. After all, creating the safest human-machine interface is equally important to creating the richest experience for enabling the successful deployment of augmented reality systems!
Machine Learning and AI
The distinction between hardware and software is rapidly disappearing, with many efforts under way to achieve AI algorithms in hardware. This trend creates a multi-disciplinary paradigm in which neuroscientists, software engineers, and hardware engineers must collaborate to implement the most efficient machine learning algorithms. To address this very need, Introspect Technology has created the E Series, our emulator modules.
As device emulators, the E Series can be used by either software engineers or algorithm scientists to stream real sensor data to their training algorithms, whether the latter is done in software or hardware.
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