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추상적 인 구체
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Multi-Camera Tracking

CAI revolutionizes spatial information through AI technology.

Utilizing existing CCTV without additional markers or sensors,
our solution employs deep learning to achieve real-time location measurement and object detection.


By analyzing the environment, it recognizes objects within the
space and measures distances between individual entities.

To enhance accuracy and repeatability,
we continuously gather and train with learning data, elevating engine performance.

Diverse angles, elimination of blind spots, partial body estimation analysis

Storing personal information

in an anonymized manner

Quantifying location information for real-time integration with external systems

Multi-camera Analysis

You can simultaneously connect from 1 to a maximum of 16 cameras in parallel.

It recognizes tracking subjects as a single object,

enabling comprehensive area analysis without blind spots.

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Identification of worker’s zone

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Measurement of distance between workers and objects

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Alerts upon entering hazardous areas

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Recognition/discrimination using body parts

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Tracking of worker movement paths

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Heatmaps based on worker movement paths

Build Smart Factory 

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World-class Recognition Performance

Trained with 600,000+ real-world training data, it supports world-class recognition performance. As a result, even when only parts of a worker's body are visible, it can recognize them, addressing blind spots and on-site situation issues.

Unlimited Space Measurement

By exponentially expanding the number of cameras, you can eliminate blind spots in the area and enhance object tracking accuracy.

Real-time Additional Learning

Generating additional training data to adapt to daily changing on-site situations, we maintain optimal conditions and accuracy.

CAI system

The Competitive Edge of Cai Location

The technology developed by PAI Media Lab

addresses obstacles that are challenging for a single camera to detect,

as well as the ability to detect objects within

complex structures andaccurately position them.

This is achieved through IPM (Inverse Perspective Mapping) and Calibration techniques,

enabling the transformation of fragmented images acquired from camerasinto a panoramic view. This patented technology models the area of interest, allowing precise measurements.

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Benefits of Adoption

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Affordable Initial Implementation Cost

No need for costly AI server setup, reducing initial expenses by 1/3

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Easy Installation

and Operation

Supports dedicated interfaces for wireless network setup and monitoring

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Various

Reporting Features

Reports statistics data such as personnel location, heatmaps, people counting, and weekly/monthly trends

System Demo

Real-time streaming using general FHD-level CCTV to analyze the target and measure the location

(average analysis speed 0.01 sec, measurement error 0.1 m, measurement range, 12 m x 10 m)

Wildlife Detection AI Algorithm

Wild animal recognition deep learning algorithm module based on R-CNN

Coordinates, relative distance, and heat map reporting for each recognized object

Recognize semantic segmentation and classify objects

- Minimize false positives by applying Denoising / Background Subtraction technology

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# Real-time detection in wildlife recognition system using our engine screen

Solution Application History

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KOREA ELECTIR POWER CORPORATION 

Object Recognition Algorithm within the Safety Reporting App  / 2020.09

KOREA Railroad

Wildlife detection AI algorithm  / 2021.03 ~

KT

Smart Building Disaster Prevention Algorithm  / 2021.07 ~

HYUNDAI MOTOR GROUP

Worker Location Tracking Algorithm / 2021.09 ~

 

Solution inquiry: bsyeo@peoplei.kr

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