DornerWorks’ Post

At DornerWorks, our clients are so much more than a customer. We work to understand your context, to understand how your device serves your customer in your market. Choosing the right partner for your device design and development is critical to its success and DornerWorks has the embedded skills, respect for the regulatory process and focus on your solution to be the partner you need. See why in this white paper:

The heavy lifting in manufacturing, factory logistics, and robotics is getting assistance from real-time AI, according to NVIDIA CEO Jensen Huang’s keynote at GTC 2024. #nvidia #iiot #digitaltwins #iot #ai #enterprise #gtc24 #internetofthings #automation #tech #artificialintelligence #news #technology

🗞 Electronic News! 🗞 The ROM-6881 computer-on-module is a cutting-edge solution that supports high-resolution video capabilities, making it ideal for a wide range of applications. With support for 8K at 30fps video encoding and 8K at 60fps decoding, this module ensures efficient and high-quality display and resolution. It is particularly beneficial for edge IoT applications in various industries such as autonomous mobile robots , medical fields, surveillance, and robotics. Powered by the Rockchip flagship processor RK3588, the ROM-6881 boasts a robust configuration with a total of eight processing cores. These cores, consisting of 4 x Arm Cortex-A76 and 4 x Arm Cortex-A55, can reach speeds of up to 2.4 GHz. Built using an advanced 8nm process, the RK3588 offers a significant performance boost over its predecessor, the RK3399. This enhanced computing power is tailored for platform management and a diverse range of feature-rich applications, making it a versatile choice for Edge AI applications. #electricalengineering #electronics #embedded #embeddedsystems #electrical #computerchips Follow us on LinkedIn to get daily news: HardwareBee - Electronic News and Vendor Directory

The rapid development of on-body sensors and multimodal artificial intelligence is accelerating the emergence of the human body digital twin. Here, Luigi G. Occhipinti and colleagues discuss the future of digital twins in healthcare and wellness https://lnkd.in/ew_wJxaB

Compact AI imager boasts performance equivalent to GHz digital systems, with years of battery life In another AI-focussed interview with ipXchange at CES 2024, Guy chats with David, CEO of AIStorm INC, about another innovative AI solution that utilises the low power consumption of analogue circuit design. In the case of AIStorm, a charge-domain-based computing system runs on each pixel of a specially designed image sensor, enabling high performance that would require a multi-GHz digital processor to do the same task at the same speed. This enables better, faster image contextualisation and target recognition for industrial cameras and sensors, with a power consumption that is typically 200x smaller than a digital solution.  As David explains, a lot of industries want AI-augmented cameras – retail, smart building, industrial, etc. – but standard retrofitted cameras just don’t last long on battery power. AIStorm’s solution can last for 1-2 years on standard AA batteries and can network with each other to provide better performance for AI workloads like people tracking, traffic pattern recognition, facial recognition, and eye- and interest-tracking. A particularly interesting example that David gives is ‘trusted customer’ functionality for smart retail, which allows certain customers access to cabinets that are usually locked, for instance in a pharmaceutical setting. AIStorm’s technology brings a new viability to low-maintenance AIoT installations that use sound and image classification to better understand and interact with users. AIStorm provides a complete, compact system on chip, with everything you’ll need (image detection, processing, software) except for the battery and the lens.  Learn about ‘Mantis’ by following the link to the ipXchange website, where you can apply to evaluate this technology for use in a commercial design: https://lnkd.in/eEyaTzqE We’ve also included a brief overview of ‘Cheetah’, which takes AIStorm’s high-speed imaging technology and puts it into a dedicated chip for up to 10 kFPS operation! Keep designing! #AIimaging #facialrecognition #peopletracking #ai #artificialintelligence #disruptivetechnology #electronics #IoT #AIoT #semiconductor #analoguecomputing #analogcomputing #sensor #imagesensor #industrialelectronics #industrialIoT #smartretail #smarthome 

Himax to Demo Upgraded AI Processor for Edge Devices at CES 2024 Himax Technologies will unveil the next-generation version of its WiseEye AI processor for battery-powered tinyML products and reference designs at next month’s Consumer Electronics Show. #tinyml #aiprocessor TinyML, short for tiny machine learning, is an emerging field in technology focused on optimizing machine learning (ML) algorithms to work on low-power, low-resource hardware, such as microcontrollers and small processors. This approach enables the integration of intelligent features into tiny devices, including wearables, IoT devices, and various embedded systems, without relying on continuous cloud connectivity. TinyML is characterized by its minimal energy consumption, making it suitable for battery-powered or energy-constrained environments. It enables a wide range of applications, from voice recognition and gesture control to environmental sensing and predictive maintenance, by bringing AI capabilities directly to the edge, closer to where data is generated. This not only reduces latency and power consumption but also addresses privacy concerns by processing data locally. Himax says that its WE2 processor delivers 32 times faster inference speed for AI, and more efficient power consumption compared to its predecessor.

Wearable-based sensing technologies enable ubiquitous and continuous monitoring of the body kinematics, while being egocentric, and do not suffer from occlusion or poor lighting, like camera-based solutions. ThinGenious, in SUNxr.he EU research project, leverages the latest advancements in the field to make rehabilitation more effective and accessible. SUNxr.he envisions a future where wearable technology can harness the power of AI to monitor remotely the everyday progress and offer real-time feedback to both patients and healthcare provider. Technologies used in the demo: –        Hardware: Xsens MVN awinda sensors by Movella –        Software: Transformer-Inertial-Poser (TIP), https://lnkd.in/dR8UUgZY On the SUN XR Youtube channel at https://lnkd.in/dAErvWHN you can find a short video showing the above technology. #IA #technology

RISC-V, the open standard instruction set architecture (ISA) based on RISC principles, has revolutionised the tech landscape since its inception at the University of California, Berkeley in 2010. Free and open source, RISC-V's modular and simple design supports a wide range of applications, from embedded systems to supercomputers, making it a highly scalable and efficient solution. Managed by the RISC-V Foundation, its growing community and ecosystem provide a flexible and cost-effective alternative to proprietary ISAs like ARM and x86. RISC-V is increasingly adopted for AI on the edge, thanks to its open and customisable nature. It is well-suited for edge AI applications where efficiency, low power consumption, and tailored hardware are crucial. Its modular architecture allows for custom extensions optimised for AI workloads, such as vector processing and machine learning accelerators. This flexibility enables the design of specialised processors that handle AI inference and processing directly on edge devices, reducing the need for constant cloud connectivity and enabling faster, more efficient AI operations in applications like IoT devices, smart cameras, and autonomous vehicles. Klepsydra has benchmarked the execution of AI algorithms on the Microchip PolarFire ICICLE using ESA’s OBPMark-ML models and TensorFlowLite as a baseline. The results were impressive, with Klepsydra AI running up to 5x faster than the baseline! Key Highlights: - “PolarFire Icicle Kit”:Utilises RISC-V architecture with SiFive's U54-MC cores and a PolarFire FPGA. - “OBPMark-ML”: An ESA initiative benchmarking framework for validating space-qualified onboard processors. Includes AI models for cloud detection, ship detection, CME detection, etc. #RISC-V #AI #EdgeComputing #Klepsydra #TechInnovation #Benchmarking #PolarFire #FPGA #MachineLearning #IoT

Great to see the progress made possible by our SW team. This shows the efficiency gain achievable with Klepsydra AI on the RISC-V architecture. These gains allows to run more compute intensive AI models on edge devices without the need of dedicated HW accelerators and avoids the time consuming and tedious "fiddling" with models to make it fit. Bringing this efficiency to the RISC-V platform enables more edge AI applications and thus allow more people to benefit from edge AI. Together with the work to support various space processors, CPUs, GPUs and FPGAs, this is another step in implementing our vision of a unified API allowing to execute AI on different devices without sacrificing efficiency.

How to use our TOF 3D Camera to your AIoT Platform? 1.Large #FOV 3D camera based on #iToF imaging technology, data transmission based on standard #UVC (USB Video Class) protocol, 2.Supports camera-side depth data processing to reduce host computer resource usage. At the same time, the camera integrates depth computing power and supports depth model deployment. 3.On the premise of ensuring the accuracy of depth data, it provides a variety of distance modes, frame rates and working modes for users to choose from, supports the alignment function of depth images and color images at multiple resolutions, supports frame synchronization of depth images and color images, and Multi-camera synchronization function. 4. In addition, the camera also provides six-axis IMU sensor data to assist in tasks such as #SLAM and 3D reconstruction. 5.Through modular design, it meets the diversified development needs in the #AIOT field and can be used for three-dimensional reconstruction, human body modeling, sports fitness, Behavior analysis, volume measurement and other scenarios. https://lnkd.in/gWitSMvq #tof #3dcamera #slam #aiot #hiedesign #creative #innovative #iot #ai