Together with KDDI and Oracle, Nexar Unveils AI Application that uses Crowd-Sourced Vision Data to Find Available Street Parking in Tokyo
Supported by KDDI and Oracle Cloud Infrastructure, Nexar shows how Automotive Edge Services will work in the future and releases a video showing how a network of AI dash cams can spot empty spaces in real-time
NEW YORK, Sept. 13, 2022 /PRNewswire/ -- Nexar, the leading computer vision AI company, released a video demonstrating the first ever AI-powered parking space-finder app. Demonstrated with Oracle & KDDIs' mobile and edge infrastructure, the app reviews dash cam footage to detect on-street free curb space in Tokyo's busy streets using edge compute environments. Nexar, KDDI and Oracle are part of the Automotive Edge Computing Consortium (AECC), which works to create the computing and connectivity infrastructure for connected cars of the future.
Nexar's app can dynamically and safely scale the sharing of transient conditions in near real-time. This demonstration comes on the heels of a similar real-time on-street parking app pilot in New York City, where thousands of Nexar's popular dash cams were driven around the city, capturing 220 million miles of driving each month and spotting empty parking spaces in real-time. Locations and photos are shared instantly to Nexar's app, so that a circling driver can quickly grab the empty space.
Using the power of AI and the distributed edge architecture, Nexar solves the issue of latency, and compute and connectivity costs by consolidating and verifying multiple vehicles at the network edge. Nexar's goal is to solve the geolocation class of problems: HDMap fresh change collection, intelligent driving hazards, provide blockages and convenience alerts, and create traffic scheduling cruise assist, using edge compute environment and resources. This way, Nexar can spot and map empty parking spaces "seen" by these dash cams as they drive through the city, sharing them through push notifications to other drivers to the free parking spot.
Tokyo's AECC pilot is a breakthrough in proving the viability of such applications for the future of 5G networks, using in-car camera SDKs to compute the Uber H3 spatial index, which is used to distribute data across multiple edge clouds including Oracle Cloud Infrastructure (OCI). The pilot also uses AECC aggregation and consolidation on the network edge. This PoC proves the feasibility of cost-effective scale and elasticity of automotive edge services that will drive different use cases leveraging the powerful 5G and edge compute industry trends. In addition, Toyota, DENSO, NTT, Erisson and Intel are charter AECC members.
The parking-finder app used the AECC's distributed edge architecture, deployed on KDDI and OCI, and using the standards that Nexar, Cisco and UPC have been developing in the Internet Engineering Task Force (IETF). Running on OCI, the app relies on fast, flexible, and affordable compute capacity through OCI Compute and Oracle Container Engine for Kubernetes to run live data points for the AI algorithm.
"We are honored to be a part of this state of the art PoC demonstration with Nexar and Oracle in order to envision very advanced business use cases and their technical solutions developed by AECC," said Dr. Tomohiro Otani, General Manager of KDDI Corporation. "Such business use cases and edge/cloud computing technologies in the mobility domain are one of the most significant KDDI's strategies over 5G mobile networks. For that purpose, we are actively working for AECC as a member company as well as a chair of the PoC committee, and making every effort to contribute to a smart society in near future."
"Smart mobility services allow drivers to find available street parking efficiently and fast," said Toshimitsu Misawa, member of the board, CEO and president of Oracle Corporation Japan. "These services collect a very large amount of data which need to be processed near real-time. Oracle Cloud Infrastructure is designed to run nearly all applications more securely with enhanced data processing capabilities to increase speed and accuracy. We are glad to collaborate with Nexar and KDDI to continue to make advances in automotive edge services.
"In the near future, all vehicles will come equipped with dash cams, but the issue of how to upload the collected data without crashing the infrastructure will remain," said Bruno Fernandez Ruiz, CTO and co-founder of Nexar. "Partnering with AECC, KDDI and Oracle, we've discovered how to share this data scalably and economically in order to produce a collective value, enabling new applications such as parking detection. To deliver on the vision of real-time parking data, automakers will need to learn how to share data rather than assume that a siloed approach can succeed. With the AECC, KDDI and Oracle, we have accomplished just that."
Nexar turns cars into vision-sensors to understand the world. Its platform powers car vision connected services and apps, at scale, making new vision-based applications for better driving, powered by a crowd-sourced vision feed. Using anonymous, aggregated data captured from this network, Nexar has developed a portfolio of vision-based data services for public and private sector partners to make roadways safer and more efficient. Nexar's platform is already deployed across hundreds of thousands of cars, detecting parking spots, managing city safety and more.
More information at: data.getnexar.com
KDDI is a telecommunication service provider in Japan, offering 5G and IoT services to a multitude of individual and corporate customers within and outside Japan through its "au","UQ mobile" and "povo" brands. In the Mid-Term Management Strategy (FY23.3–FY25.3), KDDI is promoting the Satellite Growth Strategy to strengthen the 5G-driven evolution of its telecommunications business and the expansion of focus areas centered around telecommunications. Specifically, KDDI is especially focusing on the following five areas: DX (digital transformation), Finance, Energy, LX (life transformation) and Regional Co-Creation. By harnessing the characteristics of 5G in order to bring about an evolution of the power to connect, KDDI is working toward an era of the creation of new value.
The Automotive Edge Computing Consortium (AECC) is an association of cross-industry, global leaders working to explore the rapidly evolving and significant data and communications needs involved in instrumenting billions of vehicles worldwide. The AECC's goal is to find more efficient ways to support distributed computing and infrastructure network architectures to support the high-volume data needed for intelligent vehicle services. The AECC's members are key players in the automotive, high-speed mobile network, edge computing, wireless technology, distributed computing and artificial intelligence markets. For more information about the AECC and its membership benefits, please visit https://aecc.org/ or download The AECC General Principle and Vision white paper.
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