This study was conducted to evaluate a visual surveillance system. The advancement of recording technology and network service make it easy to record and transfer the videos. Moreover, progressed recognition technology help to make a distinction each other. Cows show distinguishing behaviors during their estrus period. The mounting is one of the behaviors. The result was different depending on the breed of the cows and the size of the farm. In the case of Korean native cattle, the estrus detection rate was 71.15%, however, dairy cows, the estrus detection rate was 39.38%. At the farms having below 6 modules, the estrus detection rate was 87.41%. On the other hand, at the farms having over 6 modules, the estrus detection rate was 77.78%. With the proper progress, the visual surveillance system can be used to detect heat detection.

Introduction
 Materials and Methods
  1. Selection of the farm
  2. Development of camera system
 Results
 Discussion
 Conclusions
 References

• Heesu Park(College of Veterinary Medicine, Chungnam National University)
• Pantu Kumar Roy(College of Veterinary Medicine, Chungnam National University)
• Youngju Noh(College of Veterinary Medicine, Chungnam National University)
• Hyuk Park(EZfarm Co. Ltd)
• Joongho Lee(CPS global, Seoul, Republic of Korea)
• Sangtae Shin(College of Veterinary Medicine, Chungnam National University)
• Jongki Cho(College of Veterinary Medicine, Chungnam National University) Corresponding author