Nunova released Nucity-Essentnet

Nunova released Nucity-Essentnet, which is a pre-trained object detection model designed for smart city applications, featuring the following: You can click: https://github.com/nunova-ai/nucity-essentnet.git for more information.

Nucity-Essentnet model

Nucity Essentnet 是为智能城市应用程序设计的预训练对象检测模型,具有以下特点: 你可点击以下链接查看详情:https://github.com/nunova-ai/nucity-essentnet.git。

Nunova released Nucity-Essentnet

Nunova released Nucity-Essentnet, which is a pre-trained object detection model designed for smart city applications, featuring the following: You can click: https://github.com/nunova-ai/nucity-essentnet.git for more information.

Falling identification

Based on computer identification technology and on-site cameras, it can automatically identify the fall behavior of people in public places, such as subway escalators/stairs, old and young activity areas, with an accuracy rate of more than 90%. Timely rescue can improve the effect of manual supervision and ensure life safety.

Call identification

Based on large-scale behavior image data training, it can automatically locate the location of the wireless phone, identify the call action in the monitoring area and give an alarm immediately, which can prevent explosion and fire caused by sparks, as well as potential safety hazards caused by driving and other calls, and avoid potential safety …

Smoking identification

Based on large-scale behavior image data training, identify smoking actions in the monitoring area and give an alarm immediately to prevent potential safety accidents caused by sparks.

Swimming recognition

Identify the behavior warning of people entering the restricted area waters through the view; To realize the daily monitoring of personnel crossing the water restricted area in the fixed area. When pedestrians cross the water area, they will immediately voice away “You have entered the water area, please leave quickly”, and repeat the alarm until …

Suspected theft detection

 Based on computer identification technology, cooperate with on-site cameras to automatically identify suspicious persons at monitoring points, give early warning to those who do not comply with the regulations, fill in the gap of artificial control, and strengthen security control.