Safety laser clears a safe path

Automated guided vehicles (AGVs) can be operated safely using the RSL 400 safety laser scanner, using protective and warning fields. It also simultaneously captures the measurement values for the navigation software.

When the triangulation principle is used for navigation, AGVs are typically equipped with two different sensors, one for safety and one for navigation. The RSL 400 safety laser scanner from Leuze Electronic, however, not only handles the safety aspects, but also provides all measurement values for the AGV’s navigation based on the natural navigation principle. In addition, the measurement values have an extremely high angular resolution and accuracy, reports Leuze. This is important to precisely determine the position of the AGV. Consequently, only one scanner is needed for safety and navigation functions.

Measurement value output of the RSL 400 is optimised for navigation software that functions according to the principle of natural navigation with simultaneous localisation and mapping (SLAM). With each revolution of its deflection unit, which last 40 milliseconds each, the safety laser scanner emits 2,700 light pulses which are scattered in all directions on obstacles. Parts of the scattered light are transmitted back to the scanner and used to calculate the distance to the obstacle. Similar to a map, the navigation software contains an image of the respective room, including all fixed boundaries. The current position of the AGV is then calculated by comparing the measurement values to the map. This concept is referred to as natural navigation.

The more detailed and exact the measurement values of a scanner are, the more precisely the AGV can navigate. With an angular resolution of 0.1 degrees, the RSL 400 can capture the environment in high detail over the entire measurement range up to 50m. This is achieved through a narrow laser spot that maintains its perpendicular shape over the entire scanning angle. It also reduces incorrect measurements, which can occur on edges.

In addition to the angular resolution, distance values are also important. Typical error accuracy is less than 30mm. The values are not affected by the reflectance of the object, whether it is a reflector or a black wall. The additional output of the received signal strength value for each beam allows autonomous detection of reflectors by the navigation software. When beams strike a reflector, the values differ greatly from any other environment. This makes simple and reliable detection possible.

Safety features include the ability to offer up to 100 switchable protective and warning field pairs. This high number means that the protective fields can be adapted to the respective movement and load conditions as well as the speed of the vehicles. In four-field mode with 50 switchable field sets, the device can monitor up to four protective fields simultaneously. This enables safe and reliable reduction of the speed of AGVs. With a scanning angle of 270 degrees, the RSL 400 can also cover the front and side areas of AGVs at the same time, for example, around corners.

Maximum operating range is 8.25m, meaning that even large AGVs can be safeguarded with only two RSL 400.

The product range includes nine variants, three of which with data output for AGV navigation. All models are available for the four operating ranges of 3.0, 4.5, 6.25, and 8.25m. Models with PROFIsafe/ProfiNet interfaces are also available. These interfaces make it easier to integrate the devices, particularly when many different protective field configurations are used.

 http://www.leuze.com

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Low-power wi-fi chip improves battery for the IoT

Fabless semiconductor company, InnoPhase has announced the Talaria TWO wireless IoT chip. It contains a full functionality, multi-protocol transceiver, MAC/PHY, digital power amplifier and an embedded Arm processor for lightweight applications, explains InnoPhase.

The Talaria TWO chip is designed for battery-based IoT applications and is claimed to be optimised to be the lowest power Wi-Fi solution in the industry. It has the potential to create a whole new class of IoT products that can cut the power cord and be battery-based with a DTIM3 specification at least half that of leading low-power wi-fi solutions, predicts InnoPhase.

Power consumption limits the potential of battery-powered, wirelessly connected products. Frequent battery changes can be inconvenient and expensive. Low-power wireless connectivity designs have to the potential to introduce a range of battery-powered IoT products to the approximately four billion wi-fi-enabled products that now ship each year.

The Talaria TWO platform uses InnoPhase’s patented PolaRFusion radio architecture, which processes radio signals using polar co-ordinates rather than traditional IQ co-ordinates. This digitally-intensive radio option dramatically reduces the amount of power required to transmit, process, and receive wireless information using industry standard wireless protocols, says InnoPhase. This is achieved by moving most of the radio signal processing from power-hungry analogue circuits, found in today’s IQ-architecture wireless devices, into power- and size-efficient digital logic. It actively manages multi-protocol co-existence for 802.11b/g/n and Bluetooth Low Energy 5.0 for edge of network applications.

Initial customer products developed using Talaria TWO have shown battery life improvements of more than 50 per cent compared with competing solutions. Products will now be able to go weeks, months or even years longer between battery charging or replacement, says InnoPhase.

Key customers are now sampling the extreme low power Talaria TWO wireless platform with full commercial availability and certification scheduled for mid-2019.

InnoPhase specialises in extreme low power wireless solutions. The company is headquartered in San Diego, California with additional advanced development centres located in Kista, Sweden, and Shanghai, China.

The company developed the industry’s first digital PolaRFusion radio architecture.

http://www.innophaseinc.com

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RS Components adds Intel Neural Compute Stick 2 for deep learing

Described as a small and fanless computer-vision and deep-neural-network (DNN) accelerator, the Intel Neural Compute Stick delivers easy access to low-power, high-performance deep-learning capabilities for embedded IoT applications. It is now available from RS Components.

It is used by data scientists and academics, as well as developers and engineers looking at integrating computer-vision and artificial intelligence (AI) capabilities into Internet of Things (IoT) applications. The stick, in the convenient USB form factor, enables deep learning prototyping on a laptop or device with a USB interface.

Like its predecessor product – the Intel Movidius Neural Compute Stick, which was launched in 2017 – the Intel NCS 2 is based on the Intel Movidius Vision Processing Unit (VPU). It additionally deploys the latest version, the Intel Movidius Myriad X VPU which has a dedicated hardware accelerator for DNN inference.

The Intel NCS 2 can be combined with the Intel Distribution of Open VINO toolkit as a versatile prototyping and development tool with support for deep learning, computer vision and hardware acceleration to enable applications that have human-like vision capabilities. The combination of the Intel NCS 2 and the Intel Distribution of OpenVINO toolkit enables a fast development-to-deployment cycle, from prototyping trained DNNs on the compute stick to the easy porting of DNNs to an Intel Movidius VPU-based embedded device or system with minimal code changes required, if any. The Intel NCS 2 also provides support for the popular open-source Caffe and TensorFlow DNN software libraries.

The Intel Neural Compute Stick 2 is shipping now from RS in the EMEA and Asia Pacific regions.

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https://uk.rs-online.com/web/

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Parkbob and ESA join forces for satellite-driven parking availability services in smart cities

Parkbob announced today that they will team up with ESA Business Applications to develop an architecture for satellite-driven availability parking services. Their collaboration through an ESA Kickstart activity as part of the Integrated Applications program, will demonstrate the added value that satellite brings in the context of advanced digital last-mile solutions. As a first step, Parkbob will access the Earth Observation satellite images from Copernicus and use them to obtain historical snapshots of on­street parking occupancy/availability in a city. Such large amount of data describing parking behavior in cities will be further used to train and validate advanced stochastic models that will help drivers to get information on the available parking slot. Such service will be highly beneficial for the drivers, saving money, time and nerves. Furthermore, it will reduce negative environmental impacts.

The Austrian startup already has deep technological expertise due to its extensive work with satellite images from various sources. The close partnership with ESA will add a range of new opportunities and ideas for Parkbob to be discovered and tested.

Particularly, Parkbob will have the opportunity to further elaborate their business proposition and evaluate the business viability of a satellite-based approach. The next step will be to design and create a technical architecture for sourcing and processing satellite-images with state-of-the art AI. Based on this framework, Parkbob will be able to deploy a number of services and solutions for several use cases. This is part of the Parkbob DNA to be at the forefront of innovation and to use every technology available to offer the best service possible for our customers.

Parkbob Founder and CEO Christian Adelsberger emphasizes how important the cooperation with ESA is for the company: “This cooperation is a major milestone for developing advanced digital last-mile solutions for mobility and a great showcase how public-private partnerships can aid implementation of new technologies in the market. We are looking forward to intensifying our cooperation with ESA in the future.“

Roberta Mugellesi, Business Applications Manager at European Space Agency adds. “Business Applications has many resources that could be beneficial to companies. We want to harness the huge and largely untapped potential of small companies’ innovation capabilities, which is why we are intensifying our effort to collaborate with private companies wanting to develop new solutions and services based on space assets. The project proposed by Parkbob was selected for co-funding as part of the ESA Kickstart call “People Mobility”, providing a convincing example of promising ideas to support smart mobility in cities.”

Through the ESA/Parkbob partnership, the Satellite Earth Observation data enable potential solutions for public applications, such as traffic management and city planning. The applications are not just limited to public but can also be beneficial to mobility providers, logistics companies and others. Efficiencies can be gained in fleet management, last mile issues such as drop off/pick up and deliveries in general.

Moreover, Parkbob wants to demonstrate how much can be gained from the collaboration between public institutions and private companies.

About Parkbob

Parkbob – Digitizing the last mile in mobility

By combining and digitally processing data from over 1,200 sources, such as open administrative data from local authorities, maps, satellite images, anonymous movement data from car-fleet navigation systems and parking space maps, Parkbob can accurately identify the parking regulations governing any given parking space (residents’ parking, loading area, short-term parking zones, etc.). This information, which is often unavailable to drivers in the moment, provides an immediate added value.

Founded in 2015, Parkbob now boasts some 25 experts from a range of specialist fields (18 of them women) from 12 countries and has been part of the A1 Start Up Campus in Vienna since the day it was founded. The company just recently announced at CES in Las Vegas that it teamed up with Amazon to launch a new skill for Alexa-enabled devices.

Learn more about Parkbob: https://www.parkbob.com/

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About Smart Cities

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