Success Stories: Edge AI in Smart City
2/15/2024
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-Harnessing AI for Security Screening in Public Venues

Intelligent detection systems are essential for securing public venues such as schools, stadiums, shopping centers, and hospitals with large crowds. Traditional security measures, such as passive cameras and metal detectors, have limitations, including slow queues and reliance on post-incident evidence. Crowded environments and varied contraband further complicate inspections. To address these challenges, the customer adopted an AI-powered security screening solution to enhance efficiency, reduce wait times, and improve user experience.
Solutions:
ARK-1221L edge computer and EAI-1200 AI acceleration module
Case 2-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 3-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 4-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 5-Advancing Highway Safety in Japan with AI-Powered Traffic Surveillance
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 6-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