IoT Integrator

Teen e-cigarette use is on the rise across the US, and many students report vaping on school premises. At the same time, students, teachers, and staff face myriad threats in school settings ranging from chemical exposure to active shooter situations. Smart IoT sensors that can detect substances and sounds can help minimize dangerous situations in educational environments.  

Innovative uses of IoT make life on campus easier for Arizona State University students. The real fun happens at the stadium, where technology tackles entertainment and efficiency. Here’s a look at some of ASU’s IoT-powered projects.

Digital highlighters offer new ways for students to read. After scanning text, students can transfer, edit, and listen to the text via connected computer applications. The tools also offer text translations in multiple languages and provide assistive technology for those with learning difficulties by enhancing comprehension and reading ability.  

X-ray vision may be out of reach for humans, but artificial intelligence is gifting robots with superpower senses that could prove to be vital on the warehouse and manufacturing floors.  

The Department of Homeland Security and SCITI Labs continue their multiphase plan to test sensors for detecting wildfires in the western United States. Meanwhile in Germany, startup Dryad is developing a wireless environmental sensor network based on LoRaWAN. All groups expect IoT technologies to identify fires and provide alerts more quickly than satellites and cameras.    

Online grocery sales are driving traffic to brick-and-mortar stores, which are becoming inundated with shoppers. To combat congestion in the aisles, retailers are turning to automated micro-fulfillment centers, which use artificial intelligence and robots to fulfill orders in record time.  

Artificial intelligence and machine learning enable autonomous robots to grow, analyze, and harvest produce in greenhouse environments. Robots reduce labor costs, increase crop yield, and improve sustainability.  

Autonomous delivery robots powered by IoT meet changing consumer needs. The robots are contactless and can navigate their environment without help.   

IBM and the Urban Institute are using the IBM Cloud Pak® for Data as a Service to identify neighborhoods at risk of community decline or gentrification and enable timely policy proposals to prevent displacement. The project will use deep data analysis to create machine learning models that will shape policy suggestions.  

The CityDash platform provides analytics and data intelligence for cities for economic development, urban planning, mobility, transportation, public safety, and more. The technology helps municipal workers and regular citizens make more sense of life and work in multiple cities around the globe, including in one of the San Francisco Bay Area’s smart cities, San Leandro.