Cylinder Lodging Recognition
Detect fallen industrial gas cylinders.
Cylinder lodging recognition algorithm is to identify whether industrial gas cylinders such as oxygen cylinders and acetylene cylinders fall down, and immediate alarms are given if there are.
Scenarios
Roads, factories, oil fields, construction sites, parks
Functions
·Support the alarm of various types of industrial gas cylinders;
·Support the alarm of gas cylinders in red, blue and other colors;
·Support filtering the minimum detection area;
·Support manual setting of detection area.
Demo
Case Studies
Sinopec
An all-round 7*24 AI video analytics system for oilfield operations is established to improve safety management, with real-time analysis of 300 channels of videos at oil fields through Corerain's artificial intelligence video analysis platform and recognition...
The Research Institute in Shandong
Corerain AI video analysis platform realizes the functions of visitors management, recognition of smoking, personnel wandering, personnel falling down, and passenger flow counting, all-day warning alert in seconds, and quick positioning of problem floors.The platform accurately identifies the flow direction of people, provides intelligent operation and management with visual basis for decision-making, improving the security performance and management efficiency of the park.
Shandong Lianmeng Chemical Group
To meet the group's safety production needs, Corerain has carried out intelligent transformation and upgrading of the safety production supervision system. It provides an integrated AI video analytics solution to help the company implement unified intelligent management of factory videos.
The Famous Beer Group
Corerain provides a complete accelerator-algorithm-platform integration solution, and uses AI video intelligent analysis platform to realize automatic alarming of environmental status and safety operations, timely detection of hidden dangers, and compatibility with the existing equipment, greatly saving manpower and equipment cost, improving safety management from extensive to intensive mode.
