Smart Objects Identification System for Robotic Surveillance
نویسندگان
چکیده
منابع مشابه
smart robotic weed control system for sugar beet
while weeds in sugar beet farming reduce crop yield and quality, they also lead to higher labor and material losses. in recent years, in order to eliminate or reduce the damage caused by weeds in sugar beet farming, weed control has gained importance. to this end, various studies have been conducted on robotic weed control by detecting weeds using image processing algorithms and hoeing or spray...
متن کاملRobotic Manipulation for Identification of Flexible Objects
This paper provides preliminary insight into stiffness profile identification of a complex flexible object by robotic manipulation. The object is in the shape of the letter ‘Y’, chosen to resemble a living plant. The object is approximately modelled as a spring mass system. The robot manipulates the object with one or two arms, grasped at the ends of the ‘Y’, and makes visual measurements which...
متن کاملSmart Phone Based Robotic Control for Surveillance Applications
The robotics and automation industry which is ruled the sectors from manufacturing to household entertainments. It is widely used because of its simplicity and ability to modify to meet changes of needs. The project is designed to develop a robotic vehicle using android application for remote operation attached with wireless camera for monitoring purpose. The robot along with camera can wireles...
متن کاملUbiquitous Robotic Technology for Smart Manufacturing System
As the manufacturing tasks become more individualized and more flexible, the machines in smart factory are required to do variable tasks collaboratively without reprogramming. This paper for the first time discusses the similarity between smart manufacturing systems and the ubiquitous robotic systems and makes an effort on deploying ubiquitous robotic technology to the smart factory. Specifical...
متن کاملSmart Surveillance System for Face Recognition
Smart surveillance system refers to video level processing techniques for identification of unwanted (terrorist) faces from real time video. Video object segmentation is an important part of real time surveillance system. For any video segmentation algorithm to be suitable in real time, must require less computational load. The work presented here is divided into two main parts: (1) Face Detect...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Automation and Computing
سال: 2014
ISSN: 1476-8186,1751-8520
DOI: 10.1007/s11633-014-0766-9