5G/AI Projects with GSMA

Spring 2020 marked the first session of the UC Berkeley Sutardja Center of Entrepreneurship Innovation Engineering class. This semester, students created projects to utilize 5G networks. In partnership with GSMA, projects ranged from apps to enhance healthcare to drone technology to detect fires. Check out our project overviews here and dive deeper into projects below.

As of 2020, there are 8 billion mobile connections around the globe. The mobile traffic has increased to 40EB per month, doubling that of two years ago. To counter this challenge, the number of small base stations in the world will reach 12 million by 2025, 6.5 million of which will be 5G base stations. On one hand, customers need a more stable and faster mobile network connection; on the other hand, telecommunication operators need to improve network operations. Our project, 5G Coverage Dynamics, intends to bridge the gap between operators and customers by building AI tools to improve operational efficiency. An end-to-end system was built to collect network connection related data (motion, location, latency) from mobile devices.

As the population continues to rise, the waste we create grows exponentially. The core of waste management is the humble trash can. On college campuses and office campuses, people have neither the time nor the patience to deposit their trash in the right bin. Our product will eliminate both the time and the decision-making of this process. Our high-speed scanner allows users to scan their article of trash and then immediately notifies users which bin the trash should be deposited into. Furthermore, the bin keeps recycling facilities in the loop. In a protected system on the cloud, the data passing through the scanner will be uploaded to a website so that recycling facilities can obtain crucial data for each of their bins.

There are only 24 hours in a day. We should spend that time efficiently, whether it's getting our work done or spending it with loved ones. Crowd.ai has a solution that helps you get more time out of your day. Crowd.ai is an application that tells users how crowded their target destination is in real-time. The application accomplishes this by collecting its users' location data and utilizing that to understand how crowded a location is before distributing how crowded that location is to the user. Privacy was of a huge concern from the engineering team, comprised of Sid Karia, Kelvin Ngo, Caleb Kahookele, and Huy Hoang. The engineers built their product so that only location data is collected and data is abstracted so that users only have access to how many people are at their target location.

With its inaugural gallery in Berkeley, CA, Digital ARt leads the art market at the intersection of digital art and augmented reality. Digital ARt immerses gallery-goers within an artificial intelligence-backed personalized art experience. Upon entering the gallery, visitors receive a pair of AR goggles and a custom virtual gallery. The user can rate every art piece they see. A machine learning-based recommendation system then updates the virtual gallery to provide a personalized immersive experience. The founders of DigitalArt realized that the advent of the fifth-generation internet would allow for a realistic immersive AR experience. The gallery’s experience is built upon 5G’s latency and edge computing capabilities, which creates a constant stream of data to curate a personalized and immersive AR experience. Read more here.

When an unexpected fire broke out in Cal Memorial Stadium at 3AM on a Tuesday due to a malfunctioning smartphone left behind, there was no one on-the-scene to call 911. As the fire was expanded, the intense heat began to trigger an alarm in the backend of the innovative detection platform of 5G.11. The 5G.11 platform successfully predicted the fire, and immediately alerted local fire stations by sending a report and a recommendation on how to address the situation using its artificial intelligence. Built by UC Berkeley and NUS students passionate about leveraging 5G and AI to augment the old 911 emergency system, 5G.11 is a platform that employs new technologies in 5G, AI, and IoT devices.

Passionate about healthcare, this team worked together to use 5G/AI to improve healthcare systems for the elderly at senior care centers. They strove to do this by conducting research on biomedical conditions that senior citizens often face and were inspired to develop a smartwatch app that could help track seniors in hopes of providing them with greater assistance during times of emergencies. As the COVID-19 pandemic broke out, however, they realized that an even greater need for their product could be applied to the present health climate. After brainstorming, they decided to design an app that would allow companies with essential workers to better track their employees’ health and determine their level of risk to the virus.

An undeniable link between wildfires and power lines has emerged in the past several years. Such was the case for California’s 2018 Camp Fire; the deadliest in the state’s history. A group of UC Berkeley students have developed a solution called Drone 200 that will combat poor vegetation management, and vastly reduce infrastructure-related fires, by using 5G-enabled drones. Through an automated flight path and remote control via a low-latency 5G connection, these drones will collect video imagery of vegetation near power lines and use a computer vision algorithm to detect any potential fire hazards. Without Drone 200, companies like PG&E would have to rely on field engineers to manually inspect the adjacent vegetation to over 250,000 miles of power lines, resulting in exorbitant costs.

Over the past few weeks, a 4 people team with different background found how potential the industry of remotely control robots can be. They have created VR environment for people to control robots remotely. Aiming to make human interaction and monitoring more safely and conveniently, they combine VR with robots so that people can do anything from perform surgery remotely to research in the midst of a pandemic.