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  6. [AI Image Analysis System Ipsotek Case Study] Traffic

[AI Image Analysis System Ipsotek Case Study] Traffic

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last updated:Dec 17, 2024

株式会社K.J.フェロー MOBOTIX JAPAN
株式会社K.J.フェロー MOBOTIX JAPAN
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It is being deployed worldwide to optimize traffic flow, improve road safety, and collect data.

Ipsotek's technology has developed by forming partnerships with end users to create innovative solutions that understand traffic conditions and send that information to a central management room in real-time. This system operates with a wide range of surveillance cameras and can provide accurate alerts even in bad weather. The solution can be configured to analyze data continuously or on a pre-set schedule, allowing for the setup of multiple solutions to handle different operational demands without additional costs. 【Traffic Management Module】 ■ Accident Detection ■ Traffic Congestion ■ Queue Monitoring ■ Illegal Parking ■ Shoulder Monitoring *For more details, please refer to the PDF document or feel free to contact us.

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[AI Image Analysis System Ipsotek Case Study] Traffic

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【Other Traffic Management Modules】 ■Smoke ■Double Parking ■Traffic Data Collection ■Safe Zone Intrusion ■Wrong Direction ■Pedestrians on the Road *For more details, please refer to the PDF document or feel free to contact us.

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[Case Study of AI Image Analysis System Ipsotek] Traffic

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株式会社K.J.フェロー

株式会社K.J.フェロー MOBOTIX JAPAN

Optical Instruments

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MOBOTIX established a groundbreaking concept of integrating a recording system into the camera body, making it the only network camera manufacturer to do so since the early stages of product development, and has received support from many users to this day. Early on, they focused on image analysis, equipping cameras with the ability to detect only directional movements within images and perform tasks such as people counting. They are a manufacturer that consistently provides what users seek, including a decentralized system to minimize risks associated with IP networks and low power consumption.

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