Home Technology peripherals AI AI drives digital transformation, SenseTime helps customers in multiple industries win IDC awards

AI drives digital transformation, SenseTime helps customers in multiple industries win IDC awards

Nov 24, 2023 pm 08:14 PM

2023 The 8th IDC China Digital Transformation Annual Ceremony was held grandly on November 23, with the theme of "Competing to Release Digital Power". The 2023 IDC China Future Enterprise Awards Ceremony was also held. The "Shanghai Jinshan District AI Xinyan Platform", "Distribution Drone Intelligent Inspection System Based on Cloud-Edge Collaboration" and "Zoomlion AI Vision Analysis Platform" empowered by SenseTime technology won the 2023 IDC China Future Enterprise Award Excellence Award. In particular, the first two cases stood out among many excellence awards and won the 2023 IDC China Future Enterprise Awards Excellence Award

Using digital technology to improve productivity and innovate operating models are important features of the development of the digital economy. The results of this selection not only mean that AI technology has become an important digital technology for digital transformation in various industries such as urban management and business operations, but also fully prove that SenseCore, a large device of SenseTime, can reduce costs and increase efficiency for various industries and promote digital transformation. Excellent computing power and algorithm and other infrastructure service capabilities drive high-quality social and economic development with digital power.

AI驱动数字化转型 商汤科技助力多行业客户荣获IDC大奖

The combination of artificial intelligence and urban governance: quickly respond to long-tail needs and inject warmth into smart cities

The Jinshan District AI Xinyan Platform was built by the Shanghai Jinshan District Urban Operation Management Center and SenseTime Technology based on the SenseTime Ark City Open Platform, achieving rapid response to long-tail demands and comprehensive management of city-level data.

Enhancing the synergy of urban overall management, improving the flexibility of resource allocation, and improving the timeliness of incident detection are important challenges that need to be solved to achieve smart urban governance. In order to improve the efficiency of urban governance, reduce the energy burden on personnel, and improve citizen satisfaction, the Jinshan District Urban Operation and Management Center teamed up with SenseTime to explore the intelligent application of AI vision technology in various urban management scenarios, striving to achieve dynamic perception of the city. People, cars, and things can solve the problem of "visible" but "unintelligible" and improve the efficiency of urban operation and management.

SenseTime uses AI algorithms and knowledge graph resources to give full play to their role and establish a cross-domain, cross-industry, and cross-level intelligent algorithm factory to quickly respond to the diversity of urban management and long-term needs in segmented management scenarios. tail demand. Since its use in June last year, the SenseTime Ark City Open Platform has developed 16 algorithms for the AI ​​Xinyan platform, including water accumulation detection, garbage truck detection, random parking, and road occupation operations, etc. During Typhoon Meihua's landing in Jinshan in 2022, the platform successfully warned of key water-prone locations and provided strong support for emergency flood prevention work. The application of Jinshan District’s AI Xinyan platform enables early detection, early warning and handling of hidden risks, giving full play to the role of a digital engine in urban construction

The combination of artificial intelligence and industrial parks aims to create "visible intelligence" and "invisible wisdom"

As a leader in the construction machinery industry, Zoomlion is known as the "cradle of China's construction machinery technology" and aims to create an industrial smart park that connects and integrates "visible intelligence" and "invisible intelligence" . With the technical support of SenseTime, Zoomlion has built an intensive, scalable, and iterable AI center to support smart applications throughout the park.

The amount of data in Zoomlion’s various business segments continues to grow, various departments are accelerating their intelligent transformation, and the demand for AI applications is also increasing rapidly. At the same time, the algorithm needs to have the ability to achieve high accuracy and low false alarm rate in various scenarios, and ensure vertical integration of intelligent platforms and application scenarios to achieve business closed loop

Zoomlion cooperates with SenseTime to meet the needs of park transportation, office, property management and other scenarios. By building an AI visual analysis platform, it lowers the threshold of AI visual application, improves AI development efficiency, and precipitates AI visual intelligent perception, Intelligent decision-making capabilities. For example, the AI ​​visual analysis platform improves the efficiency of data preprocessing and annotation, enables scene reuse and model development process reuse, reduces development cycles, and increases AI application delivery efficiency by 30%. Thanks to the lowering of the threshold for the application of visual technology, Zoomlion has added 10 to 20 new AI implementation scenarios for product intelligence, smart manufacturing, and smart parks every year, promoting cost reduction, efficiency improvement, and industrial upgrading.

The integration of artificial intelligence and the energy and power industry can promote the improvement of the quality and efficiency of distribution network inspections

SenseTime cooperated with a provincial electric power company to develop a UAV cloud-edge collaborative intelligent defect detection model and an intelligent holographic sensing ring network using the industrial orientation of "industry-digital integration", Internet of Things technology and artificial intelligence analysis technology. cabinets and other products. These innovations have significantly improved the intelligence level and power supply reliability of the distribution network, and promoted the digital transformation of the energy and power industry with AI technology

The distribution network has long lines, large scale, complex surrounding environment, and the problem of equipment aging. The actual inspection requirements for timeliness and accuracy are constantly increasing. The traditional manual inspection mode can no longer meet the current inspection requirements. inspection requirements. SenseTime has in-depth cooperation with a provincial electric power company and has greatly improved the efficiency and goals of defect identification through technologies such as cloud-edge collaborative power line detection, small-sample learning for distribution line defect identification, vision-based three-dimensional reconstruction, and semantic segmentation. Detection accuracy improves inspection efficiency and reduces human resource investment.

In the tower inspection scenario, the efficiency of drone inspection is 5 to 10 times higher than that of manual inspection. At the same time, the discovery rate of hidden defects has doubled. Drone inspections greatly reduce the work safety risks of inspection personnel, effectively avoid operational risks such as electric shock and falling from high altitudes, and improve the quality and efficiency of distribution network inspections. Through digital expansion and intelligent upgrade of the drone inspection platform, the power company has provided strong technical support for the province's "peak winter" and "spring festival guarantee" work, and promoted the self-circulation and development of the energy industry. sustainable development

According to IDC forecasts, by 2023, global digital technology spending will grow eight times faster than the economy. At the same time, global digital technology spending is expected to increase to US$2.8 trillion by 2025. At the turning point of the wave of digital transformation, SenseTime will continue to increase investment in technical infrastructure, continuously reduce the cost of AI production factors, and promote the in-depth integration of AI technology with the application ecology of various industries, injecting advanced productivity into the digital construction of various industries. Promote more traditional industries to complete intelligent upgrades.

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