AI-Prime possesses rich industrial experience of know-how and petabytes of industry scenario data, combining industrial internet and artificial intelligence (AI) to provide intelligent full-stack security monitoring and production safety platform, as
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More >Behavioral Security Analysis
High-risk Operation Supervision
Equipment Security Management
Environmental Condition Monitoring
Personnel Positioning & Status Analysis
Develop full perception and improve risk perception through multimodal data fusion capability.
Real-time prediction and early warning to supervise and reduce risks with AI algorithm technology.
1 integrated management system controls operation process to highly automate collaboration.
Innovate new mode of security management to reduce operation & maintenance and safety costs.
The client uses AI to monitor the filling operation process to ensure the safety of loading and unloading operations due to the need for smart and digital transformation.
The client has frequent loading and unloading operations so that the daily supervision of safety hazards is necessary. There is an urgent need for intelligent means to achieve real-time supervision in the operational process.
The client's existing manual inspection method is inflexible and has long inspection intervals, which poses certain security risks when conducting daily operations at its terminals.
No security incidents have occurred since the system launched
Real-time data analysis and advance warning to avoid incidents
150% increase in purchases in the following year and an estimated 400% increase in the third year
Large amount of scenario data for model training to integrate deep learning models
No security incidents have occurred since the system launched
Based on human-object interaction behavior analysis, statistically model the whole process and judge the sequence correctness
Reduced labor costs for real-time/post-incident operational behavior monitoring and analysis
Large amount of scenario data for model training to integrate deep learning models
No security incidents have occurred since the system launched
Free up about 8+ manpower, saving more than 20,000 hours of supervisory work per year
Traditional manual inspection of 200 monitoring points takes 3 hours while the same detection task takes AI + robot only 20 minutes
Large amount of scenario data for model training to integrate deep learning models
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