로보스 도축 자동화 로봇 | 안전하고 효율적인 작업 환경을 위한 도축 자동화 솔루션도축 자동화 로봇 | 이분도체 로봇 PSP육가공 자동화 | 돼지, 소 도축, 육가공 무인화 스마트팩토리 솔루션육가공 자동화 | 돼지, 소 도축, 육가공 무인화 스마트팩토리 솔루션 | 프로세스 이미지
ROBOS Core Values
Biometric measurement, calculation, and robot control are self-taught through repetitive learning. Optimized for Korea’s pig farming with weight variances between 60-150 kg.

Atypical Biometric Machine Vision Deep Learning AI

01
비정형 생체물 외형 라이다 스캔 데이터 취득
Acquires LIDAR scan data of atypical biometrics
02
취득 데이터 연상용 3D 데이터 변환
Converts acquired data into 3D models for associative use
03
해부학적 생체 제어를 위한 핵심 포뮬러 개발 [머신딥러닝]
Develops core formulas for anatomical biometric control through
[ machine deep learning ]
04
로봇 제어용 좌표 생성
Generates coordinates for robot control
05
로봇 제어 반복 학습
Repetitive learning for robot control
Biometric Data Collection

4,000 new datasets collected daily

Cumulative Biometric Data in Deep Learning

Over 3 million datasets

Self-Developed AI Model for atypical Learning

ROBOS AI

Slaughterhouse Automation Robots

Automation Solutions for a Safe and Efficient Work Environment

The nature of the meat slaughtering industry presents many challenges for workers, both physically and psychologically. Workers face repetitive tasks in hazardous environments with risks of accidents, poor ventilation in the by-product rooms, drainage issues, and having to work in poor sanitary floor are part of the daily reality for slaughterhouse workers. Such harsh conditions and dangerous tasks need urgent improvement.
To address these issues, ROBOS has developed the “Atypical Biometric AI Assessment." In slaughterhouses, handling carcasses of various sizes and shapes (60kg to 150kg) requires precise calaculations of the positions. Our atypical biometric AI system utilizes LIDAR Vision and OpenCV-based object detection technology to analyze vision data of carcasses. With our own developed hardware and software technology, we ensure high precision and accuracy in delivering carcasses repetitively and effectively.
View Products

Meat Processing Automation

Automated Smart Factory Solution for Pig and Cattle Slaughtering and Meat Processing

Despite many customers having automated their facilities, they still require numerous workers, which reduces efficiency. Errors in judgment of carcass information due to worker’s mistakes can lower product quality and reliability. Additionally, repetitive tasks increase the fatigue level of workers and rising occupational risk leading to musculoskeletal disorders.
To solve these problems, ROBOS uses its vision system and robots to accurately and quickly sort and pack materials. This automation system reduces the number of packaging workers from 5 to 2, cutting labor costs and increasing efficiency. By minimizing worker errors, we improve product quality and trustworthiness, and reduce the management burden caused by frequent employee turnover. ROBOS’ meat processing automation project is designed to make work environments safer and more efficient.