X
  • Safety
    It is not an accident
    It is a solution
  • Safety
    It is not an accident
    It is a solution
  • Safety
    It is not an accident
    It is a solution
Company Profile

Kelend has been stablished in the intelligent integrated security system since 2002, in the field of research, development and manufacture of security and smart equipment.

 
 

Facial Recognition Solution

Face Detection |

Our Intelligent Facial Recognition solution is a highly accurate and fastest identification technology that provides efficient results for improved security for various applications ranging from Transportation (Airports, Metro Stations, Railway Stations, and Bus stands), Retail, Banking, Sports and Events and Universities, Colleges, schools, pre-schools. With the growth of technology and the expansion of communication networks, facial recognition is considered as an advanced solution for the control and management of people and identity recognition. Meanwhile, artificial intelligence and network camera technology play a significant role in this type of information processing. Kelend company provides a suitable solution for this purpose by using a powerful software and hardware team.

 

Intelligent Automatic Number Plate Recognition

(ANPR)

Pelak-Ban is an intelligent video analytics module for license plate recognition. It works in a wide range of internal/external conditions and delivers industry leading recognition accuracy for Iranian and international plates. Pelak-Ban provides a number of unprecedented advantages for users, including the ability to accurately capture license plate information up to 150 km/h and in all kinds of weather conditions, including, yet not limited to, light fog, rain, and snow. The advanced algorithms involved in the technology result in the type of pinpoint accuracy that distinguishes letters from numbers. It integrates easily with third-party parking management or smart roadway systems, as well as legacy security equipment and external databases.

Fields

 

Our Partners

 
DNN