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AI image analytics and recognition technology

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Business

AI image analytics and recognition technology

Smart Farm

Smart Farm

Pest control, livestock management, growth management, etc.

Smart Factory

Smart Factory

Machine vision, automatic inspection, abnormal detection, smart logistics

Robot

Robot

Unmanned surveillance robot based on object recognition technology

Smart Security

Smart Security

Abnormal detection, road traffic information, intruder detection and security

Smart City

Smart City

Public safety, facility management, public service

Retail (Marketing)

Retail (Marketing)

Information collection: face matching, customer flow; POS integration

Medical/HealthCare

Medical/Health Care

X-ray/ultrasound image analysis, detecting abnormal behavior in hospitals

Sports

Sports

Behavioral pattern, ball trajectory analysis in tactical ball games

Mobility

Mobility

Autonomous driving

Drone

Drone

Mobile video surveillance, face/vehicle number, etc.

Smart Farm

Livestock Ecology Management Solution

Livestock Ecology Management Solution

A system that can predict growth status and disease by detecting/recognizing, tracking and analyzing behavioral patterns of farm animals.

Detects the event of sowfarrowing, standing and stillbirth, recognizes patterns of the status board, controls indicator and transmits detected information to the center.

Real-time Vermin Detection Solution

Real-time Vermin Detection Solution

Portable detector identifies potential vermin activity that may occur on the front/rear side of crops and allows for instant pest control

6 types of pests (Tetranychusurticae, Bemisiatabaci, Green peach aphid, Bradysiaagrestis, Frankliniella occidentalis, Aphis gossypii) are detected during the first step

In the second stage, the types of vermin that can be detected are expanded into 13 types

In the third stage, advanced vermin detection is performed with the detection of micro-vermin

Smart Factory

Industrial Safety Management Solution

Industrial Safety Management Solution

Deep learning-based intelligent video analysis for industrial safety in the workplace

Machine Vision (Deep Learning) Solution

Machine Vision (Deep Learning) Solution

Enables detection of foreign substances and analysis of damage to molds used in factories

Business Model

Using video AI technology and AutoCare solution, SNUAILAB suggests just the customized product for the customer.

Base technology
  • Detection / recognition
  • Self-training
  • Automatic learning
  • Domain adaptation
  • Building domain data
Product composition
Autocare
Product composition
Customer requirements
  • Event (target, type)
  • Environment (farm, factory, etc.)
  • System size (large, middle, small)
  • Performance (false detection / undetected)
Customized solutions

    Smart Farm

  • Livestock control
  • Pest control
  • Crop growth control

    Smart Factory

  • Industrial safety
  • Deep learning machine vision
  • Robot failure prediction

Replacing with vision AI-based detectors

SNUAILAB intends to replace repetitive inspection tasks performed by workers in industrial sites (e.g., farms, factories) with detectors based on vision AI and, for this purpose, SNUAILAB aims to provide on-site focused automatic self-training systems supporting 1) training cost minimization in developing deep learning based object detectors, 2) automation of deep learning AI development workflow such as data acquisition, refinement, training, deployment, and monitoring.

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