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November 18, 2019November 18, 2019 by Stephen Vicinanza - 4 Comments

Shine Assistant AI-Powered Toilet Cleaning System Aimed at the Mass Market (Crowdfunding)

Shine Assistant AI For The Bathroom Entering the consumer market with an AI device can be tricky, it is difficult to explain how and why they work. Shine Bathroom has entered into the arena of smart bathrooms, which are starting to pop up with more frequency. Shine Assistant is the latest, stand-alone smart toilet automated cleaner and maintenance system on the market. The Smart Toilet Market The smart toilet has been reported on in the articles on Kohler Novita, an AI toilet called the “Therapy Bidet” and the Lixil AI-based toilet that can analyze feces to help in healthcare, especially for the elderly. The Shine Assistant Features and Advantages The Shine Assistant is a device that attaches to any toilet, mounts to the wall or side of the toilet, and leverages AI for cleaning and maintenance. The system has a number of features and advantages over human-based cleaning and maintenance. […]

November 13, 2019 by Jean-Luc Aufranc (CNXSoft) - No Comments

Gen 3 Intel Movidius “Keem Bay” VPU Introduced at 2019 Intel AI Summit

Intel made announcements about upcoming AI solutions at 2019 Intel AI Summit. Those include Intel Nervana Neural Network Processors (NNP) for training (NNP-T1000) and inference (NNP-I1000) for cloud and data center customers, as well as Gen 3 Intel Movidis “Keem Bay” VPU. We’ll focus on the latter in this post with Intel claiming similar performance as NVIDIA Jetson AGX Xavier at much lower power consumption with claims of up to 4.7 times more power efficiency when using ResNet-50 benchmark inference measurement using INT8 with a batch size of 1. Considering Jetson Xavier AGX has a ~30W power budget, that would mean Movidius “Keem Bay” consumes around 6 Watts. Compared to Myriad X MA2085, the new Gen3 VPU is said to have more than 10 times the inference performance. Intel did not provide any TOPS figure, but considering the company announced 1 TOPS of neural compute performance for Myriad X, one […]

November 12, 2019 by Jean-Luc Aufranc (CNXSoft) - No Comments

IEI ITG-100AI DIN-Rail Rugged mini PC Comes with a Myriad X AI Accelerator Module

Intel Myriad X vision processing unit was first introduced in 2017 as an upgrade to Myriad 2 VPU delivering up to 1 TOPS of neural compute performance. The new chip was eventually integrated into Intel Neural Compute Stick 2 launched late last year. We previously wrote about AAEON Boxer 8310AI family of Apollo Lake mini PCs featuring a Myriad X mPCIe module, but there’s now another company, namely Taiwan-based IEI, that has launched its own Myriad X powered rugged mini PC. Meet IEI ITG-100AI fanless AI embedded system. IEI ITG-100AI DIN-Rail Rugged mini PC Specifications: SoC – Intel Atom x5-E3930 dual-core Apollo lake processor @ 1.3GHz / 1.8 GHz (Turbo) with 12EU Intel HD Graphics 500; TDP: 6.5W System Memory: – 1x 204-pin DDR3L SO-DIMM slot pre-installed with 8 GB memory Storage – 128GB SATADOM, MicroSD slot, optional eMMC 5.0 flash up to 32GB. Display – 1 x VGA Connectivity […]

November 7, 2019November 7, 2019 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

NVIDIA Jetson Xavier NX SoM Delivers up to 21 TOPS for AI Workloads at the Edge

NVIDIA has just announced Jetson Xavier NX system-on-module, with the company claiming it is the “world’s smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge” with a 70x45mm “Jetson Nano” form factor, and delivering either up to 14 TOPS at 10 Watts or 21 TOPS at 15 Watts. The company expects the module to be used in small commercial robots, drones, intelligent high-resolution sensors for factory logistics and production lines, optical inspection, network video recorders, portable medical devices, and other industrial IoT systems. Jetson Xavier NX specifications: SoC – NVIDIA Xavier with 6-core NVIDIA Carmel ARM v8.2 64-bit CPU, 6MB L2 + 4MB L3 caches, and a 384-core NVIDIA Volta GPU with 48 Tensor Cores, 2x NVDLA deep learning accelerators delivering up to 21 TOPS at 15 Watts System Memory – 8 GB 128-bit LPDDR4x @ 51.2GB/s Storage – 16 GB eMMC 5.1 flash Video […]

November 7, 2019November 11, 2019 by Jean-Luc Aufranc (CNXSoft) - 145 Comments

Giveaway Week – Maixduino Sipeed M1 RISC-V AI Kit

For the fourth day of Giveaway Week, I’ll give out a kit comprised of Maixduino a RISC-V development board with an AI accelerator in Arduino form factor, a camera, and a 2.4″ color LCD. I tested the Maixduino kit with MicroPython, but it can also be programmed with the Arduino IDE, or Kendryte SDK. It basically allows you to run low-power AI workloads at the edge, i.e. without access to the cloud, such as face detection. To enter the draw simply leave a comment below. Other rules are as follows: Only one entry per contest. I will filter out entries with the same IP and/or email address. Contests are open for 48 hours starting at 10 am (Bangkok time) every day. Comments will be closed after 48 hours. If comments are open, the contest is still going on. Winners will be selected with random.org and announced in the comments section […]

November 6, 2019February 15, 2024 by Ayo Ayibiowu - 4 Comments

DepthAI Brings AI plus Depth to the Raspberry Pi (Crowdfunding)

Edge computing on the Raspberry PI has been a bit of ups and downs, especially with everyone gearing for AI in everything. The Raspberry Pi, on its own, isn’t really capable of any reliable AI applications. Typical object detection on the Raspberry Pi would get you something around 1 – 2 fps depending on the nature of your model and this because all those processing is done on the CPU. To address this poor performance of AI applications on the Raspberry Pi, AI Accelerators came to the rescue. The Intel Neural Compute Stick 2 is one such accelerator capable of somewhere around 8 – 15 fps depending on your application. The NCS2, which is based on the Myriad X VPU technology, offers so much more than the compute stick delivers, and this is something that the team behind DepthAI has exploited to create a powerful AI module for edge computing […]

November 5, 2019 by Stephen Vicinanza - No Comments

AuverCare is a Predictive AI 24/7 Monitor for Patients and Elderly

Information on the Internet for Monitoring Patients and Elderly If you are in the healthcare field or caring for an elderly or disabled person, you know all about trying to keep them safe. The internet is crowded with camera and audio monitors, wearable fall alert alarms, and the emergency services connected panic button. All these devices have one problem, they only work after there is a problem. What is Predictive AI? There has been a great deal of chatter since the 2016 announcement of a future predicting AI platform. The article reported on this platform was Predicting the Future – especially use cases such as falls by the elderly. With the advances in the field of AI and object recognition and behavior that is based on data gathered from a variety of sensors, it is not really a stretch to see a predictive healthcare monitor come onto the scene. Predictive […]

November 3, 2019 by Jean-Luc Aufranc (CNXSoft) - No Comments

BOOTPRINT X2 96Boards AIoT Development Kit Features Sunrise 2.0 AI Processor

Horizon Robotics BOOTPRINT X2 is an AIoT / AI computing development kit providing a complete reference solution from device to cloud integration. The board is powered by the company’s Sunrise 2.0 AI edge processor based on the second-generation BPU (“Brain Processing Unit”) architecture that delivers up to 4 TOPS at low power consumption and is said to follow 96Boards specification, although from the photo below they’ve taken some liberties with the option (e.g. added a Gigabit Ethernet port). The board has now launched yet, and we have limited information about BOOTPRINT X2 kit specifications: SoC – Horizon Sunrise 2.0 AI edge processor with 4 TOPS equivalent AI processing power (no mention of architecture) System Memory – 1GB LPDDR4 RAM Storage – 4GB eMMC flash, MicroSD card socket Connectivity – Gigabit Ethernet Camera I/F – Dual 1080p camera inputs for symmetric binocular camera, combination of infrared and visible light. Audio – […]