Success Stories: Edge AI in Smart City
Date:
2/15/2024 12:00:00 AM
The global artificial intelligence in manufacturing market is expected to reach USD 16.3
billion by 2027 according to MarketsandMarkets. AI has revolutionized industrial fields by
making it much more efficient, productive and cost-effective. Advantech provides hardware and software integrated offerings to help customers accelerate their traffic management, public safety, and delivery robot applications
Case 1-Improve Citizen Service and Efficiency with GenAI and LLMs
When a city government introduces a new policy, it typically requires many customer service representatives to understand its specifics in order to address public inquiries. Implementing a generative AI-powered human-robot collaboration system in a citizen helpline can significantly boost efficiency, availability, accuracy, and service personalization. This technology streamlines resource allocation, scales to handle increased demand, and offers valuable insights through data analysis. As a result, it enhances the overall experience for citizens, ensuring they receive accurate and timely information while freeing up human representatives to focus on more complex tasks.
Solutions:
AIR-520 Edge AI Server System with aiDAPTIV+ ai100 AI SSD
Case 2-Autonomous Parcel
Delivery Robots in an Urban
Community in Singapore
Advancements in AI, sensor, and connectivity technologies
have led to the maturation of service-oriented intelligent robots,
enhancing the quality of daily life through applications such as
security, logistics, and caregiving. In a community in Singapore,
the integration of Advantech’s AIR-030 Edge AI Inference Systems
into delivery robots has markedly improved the efficiency of
parcel distribution by property managers in the community. This
enhancement reduces the complexity of their tasks, allowing
residents to conveniently order and receive parcels. As a result,
the overall quality of life has been elevated.
Challenge:
• Integration of multiple devices such as cameras, sensors, and wireless modules
• Prevention of system failures due to overheating during high-performance tasks that impact battery lifespan
Solutions:
Inference- AIR-030, Software- Edge AI SDK
(runtime SDK)
Case 3-AI-Powered Surveillance
System for Unmanned Gas
Stations in Japan
According to the Agency for Natural Resources and Energy in
Japan, the country has seen a significant decrease in the number
of gas stations in the past twenty years, with over 40% closing
down. This trend poses a significant challenge regarding gas
station accessibility. Moreover, upkeep and maintenance of the
existing fuel distribution infrastructure is both costly and laborintensive,
often requiring trained personnel who are in short supply.
This human resource shortage is compounded by Japan’s declining
birthrate, population aging, and depopulation in rural areas, all of
which will adversely affect the fuel distribution network’s efficiency.
In light of these challenges, a leading Japanese gas station brand
turned to Advantech’s cutting-edge AI and IoT innovations for a
transformative solution to optimize its fuel distribution network.
Challenge:
• AI surveillance system to detect both vehicles and drivers in real-time, and to prevent abnormal operations
• Performs well in remote and outdoor environments
•
Inference runtime environment setup and integration
Solutions:
Inference- AIR-030, OS- Ubuntu 20.04, SDK- Edge AI SDK (runtime SDK)
Case 4-Advancing Highway Safety
in Japan with AI-Powered
Traffic Surveillance
AI plays a crucial role in enhancing highway safety, mainly through
advanced traffic monitoring and management systems. These AIpowered
systems offer real-time analysis and can swiftly identify
potential hazards, including accidents, cargo truck spills, and traffic
violations. With capabilities in event detection and data collection,
these systems provide a comprehensive security solution for
enhancing surveillance accuracy. Additionally, AI contributes
significantly to active traffic management by facilitating dynamic
adjustments based on traffic conditions. In an effort to take a more proactive stance
on highway safety, a leading Japanese industrial solution provider
offered the latest AI-powered solution to upgrade the highway
traffic surveillance and monitoring system.
Challenge:
• Constrained spaces, coupled with the need for uninterrupted 24/7/365 operation
• Difficulty ensuring systems are regularly maintained
• Detection of multitudes of objects, conditions, and threats on motorways in real time
Solutions:
Inference- AIR-030, OS- Ubuntu 20.04
Case 5-Turkey Deploys AI-Assisted
Traffic Surveillance and
Analysis
Statistics show that most traffic jams at intersections make up
12%–55% of daily commute times. The complexity of traffic
patterns further complicates the monitoring and dynamic tracking
of vehicles. Globally, nations are actively adopting technology to
build smart transportation systems that improve road services
for commuters. In Turkey, ISSD has leveraged its expertise in
smart traffic development and system integration to successfully
implement real-time AI traffic monitoring solutions in over 750
intersections across cities including Bursa, Anara, and Istanbul.
Challenge:
• Intersection cameras are appropriately positioned at a specific height and distance, necessitating ultra-high resolution
• Superior image recognition and analytical capabilities
Solutions:
Inference- AIMB-286 industrial motherboard with
EAI-3100 GPU card, Peripherals- SQF-SM8, SQR-SD4N, Software- Intel OpenVINO Toolkit
