Low-cost trackers are compatible with Abeeway LoRaWAN tags

An inexpensive tracking device has been developed by Troverlo, Actility, and its subsidiary Abeeway. The Troverlo host powered tag can be read by Abeeway LoRaWAN(long range wide area network) trackers.

The integrated tag, powered by location tracking and data collection service provider, Troverlo, enables customers track assets that may not have been feasible to track due to cost, said the company. 

The Troverlo tags use a standard Wi-Fi chip to send out a beacon, similar to a Wi-Fi access point, that can be picked up by any device looking for a Wi-Fi connection. Due to built-in Wi-Fi sniffing capabilities, they work seamlessly with Abeeway LoRaWAN trackers. The Abeeway tracker “sees” Troverlo tags and reports their location and sensor data through the connected LoRaWAN gateway and ThinkParkX Location Engine. Troverlo tags only require a standard off-the-shelf Wi-Fi chip to be effective, said Actility, and are therefore available in different form factors, from standalone battery powered tags to embedded tags built into equipment or products.

The Troverlo tags are automatically tracked outside of LoRaWAN connectivity through the Troverlo Global Observation Network. This means if a tracked asset leaves the LoRaWAN area, it will be tracked anywhere on the globe without any additional connectivity required. Troverlo’s Global Observation Network consists of connected devices like cell phones, Wi-Fi access points, and telematic nodes.  Compared to other connection methods, like LTE, Troverlo tags can be tracked for one tenth the price, said Agility.

The Troverlo / Abeeway tracking tag can be applied across any Actility implementation, including livestock management, where it is used to monitor abnormal behaviour or locations. However, with relatively low margins not all ranchers can afford to track each animal. Troverlo tags allow farmers or ranchers to track each animal and use the existing Abeeway trackers to backhaul the data.

Other application areas are in logistics and transportation. The inexpensive Troverlo tags can be attached to every pallet or product being shipped for it to be tracked as it moves from the warehouse, to the truck, to the customer site. Troverlo tags enable Abeeway fleet management to scale into more granular tracking of product movement, added Actility.

https://www.actility.com

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Mouser adds Texas Instruments sensor evaluation module

Described as easy to use, the IWR6843LEVM is a 60GHz mmWave sensor evaluation platform for the IWR6843 with an FR4-based antenna. Available from distributor, Mouser Electronics, the IWR6843LEVM may be used to evaluate both the IWR6843 and IWR6443 sensors. 

This evaluation module enables access to point cloud data and power over USB interfaces. The IWR6843LEVM supports direct connectivity to the MMWAVEICBOOST and DCA1000EVM development kits. IWR6843LEVM contains everything required to develop software for on-chip C67x digital signal processor (DSP) cores, hardware accelerators (HWAs), and low-power Arm Cortex-R4F controllers, confirmed Mouser.

Texas Instruments’ IWR6832LEVM is supported by mmWave tools and software, namely mmWave studio (MMWAVE-STUDIO) and the mmWave software development kit (MMWAVE-SDK). Additional boards may be used to enable additional functionality. For example, DCA1000EVM allows access to the sensor’s raw data via a low-voltage differential signalling (LVDS) interface. The MMWAVEICBOOST development kit allows software development and trace capabilities via Code Composer Studio (CCSTUDIO). IWR6843LEVM paired with MMWAVEICBOOST can interface with the MCU LaunchPad development kit ecosystem.

The sensor evaluation module has four receive (4RX) three transmit (3TX) antenna with 120 degrees azimuth field of view (FoV) and 80 degree elevation FoV.

Discrete DC/DC power management includes onboard capability for power-consumption monitoring. 

http://www.mouser.com

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NeuralVDB reduces memory footprint and adds AI 

Building on the development of OpenVDB, the open source C++ library for volumetric data, Nvidia has announced NeuralVDB, which brings the power of AI to OpenVDB.

It reduces memory footprint by up to 100 times which allows professionals working in scientific computing and visualisation, medical imaging, rocket science and visual effects to interact with extremely large and complex datasets in real time.

In the last decade, explained Ken Museth, senior director of simulation technology at Nvidia, OpenVDB has moved out of the visual effects industry and into industrial design and scientific use cases where sparse volumetric data is prevalent.

NeuralVDB joins Nvidia’s NanoVDB which was introduced last year, adding GPU support to OpenVDB. This accelerated performance and opened the door to real-time simulation and rendering, said Museth.

NeuralVDB builds on this GPU acceleration by adding machine learning to introduce compact neural representations that “dramatically reduce” its memory footprint. As a result, 3D data can be represented at even higher resolution and at a much larger scale than OpenVDB. Users can therefore handle massive volumetric datasets on devices like individual workstations and even laptops, said Nvidia.

NeuralVDB compresses a volume’s memory footprint up to 100x compared to NanoVDB which allows users to transmit and share large, complex volumetric datasets more efficiently.

To accelerate training up to a factor of two, NeuralVDB allows the weights of a frame to be used for the subsequent one. NeuralVDB also enables users to achieve temporal coherency, or smooth encoding, by using the network results from the previous frame.

This combination reduces memory requirements, accelerates training and enables temporal coherency offering new possibilities for scientific and industrial use cases, including massive, complex volume datasets for AI-enabled medical imaging and large scale digital twin simulations.

http://www.nvidia.com

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Farnell ships DFRobot’s LattePanda 3 Delta SBC

Claimed to be the world’s smallest x86 single board computer (SBC), the LattePanda 3 Delta is available from Farnell.

The SBC is the latest addition to the LattePanda family. The pocket-sized hackable computer, measuring 125 x 78 x 16mm. It supports Linux, Windows 10 and Windows 11.

Compared to other SBCs at the same price, the LattePanda 3 Delta offers the highest performance, said Farnell. It features Intel’s 11th generation mobile four-core processor, the N5105. With up to 8Gbyte RAM and 64Gbyte storage, LattePanda 3 Delta is the most cost-effective product yet from DFRobot. It is suitable for artificial intelligence (AI) and IoT applications, smart city, edge computing, smart home, face detection and recognition, artificial intelligence server, intelligent monitoring, voice recognition and cloud machine learning.

It offers developers new levels of creativity, said Romain Soreau, head of single board computing at Farnell. “Designed as the world’s most compact SBC, LattePanda 3 Delta is an exceptional board for space constrained applications which require high performance such as AI localisation, robotics, smart factory, home automation, gaming and handheld devices,” he said.

The LattePanda 3 Delta board supports 4K IPS touch displays. It has a high resolution of 3840 x 2160 pixels, two USB Type C and one mini-HDMI port.

The CPU is up to two times faster than the previous version and the GPU is up to three tunes faster to support 4K HDR video and processor intensive games. 

It also supports Wi-Fi 6 and with a transfer speed up to 2.4Gbits per second is 2.7  times faster than Wi-Fi 5. The SBC is also equipped with a USB 3.2 gen2 port that has an high bandwidth, delivering up to 10Gbits per second of throughput which is twice as fast as USB3.2 gen1 (USB3.0). Bluetooth 5.2 is included as standard.

Other features are support for Gigabit Ethernet, 42 expandable interfaces and   2933MHz high-frequency LPDDR4 RAM up to 8Gbyte. Storage has been doubled, up to 64Gbyte and the board also has a watchdog time and automatic power on and a cooling fan.

The LattePanda 3 Delta is available with a Windows 10 license. 

Developers can achieve a significant performance boost by upgrading from the Celeron N4100 of the LattePanda Delta to the Intel 11th-generation Celeron N5105 processor with up to 2.9GHz burst frequency, advised Farnell. The processor maintains almost the same pinout and layout as the previous version to allow for effortless system migration or upgrading by replacement. 

DFRobot creates hardware and software products that become the building blocks in  electronic projects, fostering a strong community of learners around it. DFRobot has expanded from open source hardware to STEM education, manufacturing and other industries. The company’s production lines range from gadgets for Arduino, LattePanda, Raspberry Pi, micro:bit, to comprehensive learning kits for K12 students such as Boson kit, micro:Maqueen series and Mind Plus.

Distributor Farnell can provide customers with fast access to easy-to-use products for project design. Customers can also benefit from 24/5 technical support alongside free access to valuable online resources on the Farnell website, and element14 community.

DFRobot’s LattePanda 3 Delta is now in stock and available for fast delivery from Farnell in Europe, element14 in APAC and Newark in North America.

http://www.farnell.com

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