Highfive Electronics’ Post

Machine vision made simple: Arduino’s Nicla Vision speeds AI development with easy integration! It’s ipXchange’s first ePoster of 2024, this time to summarise the key benefits of the Nicla Vision module by our good friends at Arduino. If you’re looking to add some machine vision functionality to an application such as assembly lines, smart buildings, smart agriculture, security, or predictive maintenance, this 22.86 x 22.86-mm module is worth a look – all puns intended! Not only is the Nicla Vision great for 2D AI image workloads – thanks to the 2-MP colour camera – the ToF (Time of Flight) sensor enables accurate depth perception at up to 4 metres* from the module, meaning that a photo will not be enough to break your face-recognition security system, for example. In addition to machine vision, the microphone and 6-axis IMU make for other interesting sensor-fusion workloads, such as face+voice recognition or image orientation detection – the latter should be great for robotics applications! Learn more about the Nicla Vision module here, and apply for a sample if you want to put it to use in a commercial project: https://lnkd.in/eKzEUqSW If machine vision is not your thing, but you still like the idea of sensor fusion and low-power AI workloads on the edge, Arduino also has their Nicla Voice (sound and gesture recognition) and Nicla Sense ML (environmental, gas, motion, and magnetic-field sensing) modules, so check those out by following the links below. As with the Nicla Vision, each of these can be used as a standalone unit – thanks to the onboard Li-Po battery charging circuit and connector – or easily integrated into a larger system for a serious boost to new or existing builds. Nicla Voice: https://lnkd.in/eiavfmtm Nicla Sense ML: https://lnkd.in/ewRwwcjD Keep designing! *Taken from distributor information about the individual ToF sensor. #machinevision #sensorml #sensorfusion #artificialintelligence #ai #soundrecognition #predictivemaintenance #processor #sensor #aicamera #camera #embedded #IoT #industrialelectronics #disruptivetechnology #electronics #electronicsengineering 

MicroPC for AIoT applications ! With the help of the NVIDIA® TensorRT library and Deepstream framework, you can get the maximum of the NVIDIA® Jetson™ processors. With all the optimizations applied, it is not a surprise to achieve desktop GPU-level framerates with deep learning algorithms in embedded form factors. You can efficiently run a custom YOLOv5 object detection model with 60 FPS with an image size of 640×640 at INT8 quantization. We will show you how to build the following AIoT applications: (1) Helmet detection, hard hat detection, and custom PPE detection (2) Visual anomaly detection using NVIDIA Deepstream IoT (3) Industrial communications with RIVA (4) Under-ice sensing ROV (5) Warehouse towing robot (6) Traffic management (7) Agriculture: weeding machines, Tractors, Livestock detection (8) Healthcare: medical imaging analysis Contact us at info@CodingScientist.com Visit us at https://lnkd.in/g-68xfFW #artificialintelligence #AIoT

AI, sensors, and robotics are making medical devices smarter, more efficient, and capable of delivering higher quality patient care. Yet coordinating a solid approach to #embedded system engineering is often a daunting task. Choose a best-fit partner for complex medical system design with tips from DornerWorks and Embedded Computing Design. Read our new whitepaper to learn more. #medicaldevice #innovation #ecosystem

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:

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 

working with Jetson nano. The Jetson Nano 4GB is a compact, powerful AI development board from NVIDIA, designed for edge computing. It supports deep learning and computer vision applications, enabling tasks like image classification, object detection, and speech processing. Its GPU accelerates AI computations, making it ideal for robotics, smart devices, and IoT projects. The Jetson Nano empowers developers to prototype and deploy AI models efficiently in various real-world applications. #nvdia #AI #yolo #instancesegmentation #real_time_detection

Thoughts on this? >> Fujifilm’s medium-frame GFX 100S II is lighter, cheaper and AI-enhanced >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #industry40 #healthtech #IoT #AI #mhealth

Thoughts on this? >> Fujifilm’s medium-frame GFX 100S II is lighter, cheaper and AI-enhanced >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #industry40 #AI #healthtech #IoT #mhealth

As our projects grow, so do we. In the beginning, I had concerns about how the entire system would function. Were there any issues in the circuit design or logic? However, one day it struck me how challenging it is to attach and detach sensor connectors while also needing to use the USB port. To explore any potential conflicts, I created an assembly and animation. Visualization and Simulation play a crucial role in teamwork. For instance, in this scenario, I was able to capture the attention of the industrial designer and seek advice on improving the user experience with access to the USB port while the mainboard is both inside and outside the product. This not only enhances collaboration but also facilitates clearer communication with managers and the product development team. Such visualizations also elevate our presentations and meetings, making a positive impression on stakeholders. #IOT #robotics #visualisation

Good news~~~ 👏 New item is starting mass production now 🎉 👀 What is the micro glass Square lens? 👉 👉 👉 The micro glass square lens is a small optical lens with a square shape, typically less than 4 mm in diameter, used in various applications such as optical transceivers, laser modules, optical sensor modules, and autonomous car technologies. 🎯 🎯 🎯 Key features of the micro square lens: Diameter: 1 mm Material: N-BK7 optical glass, RoHS compliant Effective Focal Length: 0.5 mm Numerical Aperture (NA): 0.5 Wavelength Range: 1550-1550 nm Beam Diameter: 0.5 mm Coupling Efficiency: -1.0 dB Transmittance: 99.5% Operating Temperature: -40°C to 85°C These micro square lenses are used in applications like optical transceivers, tunable optical modules, laser modules, optical sensor modules, autonomous car technologies (ADAS, LIDAR, HUD), and IoT industries. They can be fabricated using modified optical fabrication techniques for smaller dimensions. 📰 📰 📰 Applications of micro square lenses include: - Optical transceivers for CWDM, LAN WDM, and tunable optical modules -Laser modules and optical sensor modules -Autonomous car technologies such as ADAS, LIDAR, and HUD systems -IoT (Internet of Things) industries -Fiber coupling, beam homogenization, and light focusing applications -Medical instrumentation like imaging, laser spectroscopy, endoscopy, and robotic surgery -Compact imaging devices in photocopiers, smartphones, and 3D displays -The micro square lens design provides advantages such as small size, high coupling efficiency, and wide operating temperature range that make them suitable for these diverse photonics and optoelectronics applications. #manufacturing #innovation #semiconductor #Telecommunications Industries Management Forum #Telecoms Professionals: IoT, LTE, M2M, 5G, Internet of Things