Page 133 - AI for Good-Innovate for Impact Final Report 2024
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AI for Good-Innovate for Impact



               of personnel, risky conditions of equipment, and environmental safety factors. As a result, the
               safety of millions of miners' lives and property is at risk.

               In order to improve the efficiency of safety management in mining areas, protect the lives of
               miners, and safety of equipment, Corerain Technology has collaborated with Ningxia Coal to           29-Corerain
               propose an integrated AI based video analysis system using AI-based streaming accelerator
               technology. The system consists of three layers: computing power, algorithms, and platform.
               The computing power layer utilizes the globally leading Custom AI Streaming Accelerator
               (CAISA)[2] chip to create a high-performance, cost-effective, and low-latency AI computing
               infrastructure. The algorithm layer deploys over ten high-precision custom algorithms tailored
               to actual mining operation scenarios, including blockages in coal conveyor belts, instances
               of smoke and fire in surface substations, and unauthorized entry into hazardous areas. The
               platform layer builds a visual "cockpit" to achieve intelligent analysis and early warning in
               mining areas 24/7.

               After the deployment of this system in the Baijigou Coal Mine of Ningxia Coal, the mine area
               has achieved second-level warning of safety risks. Within six months, it has triggered more than
               100,000 alarms in total, with an average measured accuracy of over 95%. This has significantly
               reduced potential accidental risks in coal mine production, achieved zero accidents in the mine
               area, and improved the safety of miners' lives and possible damages to property.

               UN Goals:

               •    SDG 8: Decent Work and Economic Growth
               •    SDG 9: Industry, Innovation, and Infrastructure
               •    SDG 12: Responsible Consumption and Production

               This case will effectively contribute to the achievement of multiple Sustainable Development
               Goals (SDGs), including:

               1.   SDG 8 - Decent Work and Economic Growth: The AI video analysis system created in
                    this case can achieve real-time AI monitoring and early warning in various complex,
                    special, and extreme working environments, providing frontline workers with a safer,
                    more convenient, and stable working environment, thus safeguarding workers' lives and
                    property.
               2.   SDG 9 - Industry, Innovation, and Infrastructure: Energy and information technology
                    are crucial for infrastructure industries to achieve sustainable development in various
                    countries and regions. This case innovatively applies emerging technologies such as
                    artificial intelligence and the Internet of Things (IoT), effectively improving industrial
                    production and resource utilization efficiency, helping traditional industries transform
                    and upgrade, and providing significant impetus for global economic growth.
               3.   SDG 12 - Responsible Consumption and Production: The CAISA chip used in this case
                    achieves a performance that is up to 4.12 times higher while costing only one-third of
                    similar international products. This significantly reduces the deployment costs of artificial
                    intelligence and accelerates the industrial digitization process. Replicating and promoting
                    this case in other fields will effectively reduce the economic, environmental, and social
                    costs of future global development.


               29�2�2� Future work

               •    Create new variations/extensions to the same use case
               •    Standards development related to the use case





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