Episode 12 - Weekly IoT News Update
This week we look at a sensor that could prevent water contamination, how tech firms are using the LoRaWAN network, and the development of a tooth sensor that can monitor your diet.
Developers from Imperial College, London, and University College London (UCL) say that they have created a new sensor to enable people in rural area to test their water quality. Their new sensor is inexpensive (costing less than 1 US dollar per test), easy to use, and aimed to be used in low and middle-income countries where the problem of arsenic poisoning is greatest and access to healthcare and technology is limited. The sensor works much like a blood glucose test for diabetics, with a drop of water applied to the test strip, when inserted into the sensor it will produce a swift digital reading of arsenic levels.
Researchers from Tufts University have designed a small sensor that can track the foods you are ingesting. The sensor is mounted directly to a tooth, providing the wearer with data including intake of salt, glucose, and alcohol. The real time data tracking from the sensor is transmitted wirelessly to a mobile device.
Wavefront Innovation Society and eleven-x Inc. have announced a partnership that will make it easier for Canadian companies to develop and deploy IoT solutions. The LoRaWAN network enables testing, development and proof of concept deployment of IoT across projects in smart cities, educational and business campuses, construction and building sites, and enterprises by supporting the use of low-cost battery powered sensors for easy and efficient data collection from assets.
Walmart’s vision of the future has been revealed by a number of recent patents. These suggest that its ambition is now to embrace emerging technologies and change the way that customers shop. Walmart’s latest unusual patent indicates that human workers could be taken put of the superstore all together; the company has outlined plans for "drone assistance" in order to provide price verification of a specific object.
MIT Media Lab City Science Group introduced the group’s latest research project in response to vehicle pollution and the growing trend of car-less cities. The group has combined the best aspects of ride hailing, autonomous technologies, and bike shares to create the P.E.V., a bike share scheme comprised of large covered tricycles operated by A.I robots. The idea is that the scheme would similar to that of Uber with users using apps to arrange their journeys.
IBM's Watson Assistant is a new AI assistant designed to work help businesses enhance their brand and transform their customer experience by delivering proactive and personalised experiences while ensuring their data privacy and security. One o Watson's main capabilities is that its customer-branded, so you can create your own virtual assistance to extend your brand with an engaging customer experience.
Avaya, a New Zealand-based company, has unveiled the availability of a cloud-based service which offers and targets unified communications (UC) and contact centre (CC) migrations. The service provides mid-market organisations with a simple but comprehensive means of migration.
Over the last few years, engineers have invented a new way of caring for the elderly by using IoT technology to monitor individuals remotely. These special applications are used to generate alerts and notifications when help is required. According to Aging 2.0, home care giving is the fastest evolving sector in aging technology as nearly 100 million ventures and start-ups have been funded to develop the technology.
New Zealand’s Whakatane District Council has selected Telensa to deploy its PLANet intelligent street lighting system. Telensa PLANet is an end-to-end intelligent street lighting system, consisting of wireless nodes connecting individual lights, a dedicated wireless network owned by the city, and a central management application. The project is aiming to convert existing road lighting to LED and will involve replacing 2,500 streetlights. The system will eventually pay for itself in reduced energy and maintenance costs, as well as improve the quality of service through automatic fault reporting, and transform streetlight poles into hubs for smart city sensors.
Huawei has announced that it will use in-display fingerprint sensor technology from Qualcomm in their new Huawei Mate smartphone. The feature is expected to serve as a new sales driver for Huawei after its Mate 11 shipments start to ramp up in the late third- quarter to early fourth-quarter in 2018.