Real-time small insect behavior monitoring system and application thereof

Abstract

The invention relates to a real-time small insect behavior monitoring system and an application thereof. The monitoring system comprises a monitoring end used for observing insect behaviors, a service end used for processing and observing the insect behaviors and a client used for monitoring and observing the insect behaviors. According to the monitoring system, the monitoring end used for observing the insect behaviors, the service end used for processing and observing the insect behaviors and the client used for monitoring and observing the insect behaviors are connected, behaviors and activities of small insects can be continuously and timely monitored online by an observer in a remote mode, the behaviors of one generation of small insects can be further observed with no need for replacing an observation box and foods, and free life of the small insects is guaranteed not to be interfered. The monitoring system is convenient to operate, realizes high-definition frames, can continuously monitor the behaviors and store the behavior data of the small insects of at least one generation, can effectively research the behaviors of the small insects instead of a traditional naked eye observation method, breaks through limitations of traditional cameras and has relatively wide application prospects.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to view more

AI Technical Summary

Benefits of technology

The present inventor's current technology allows tiny pests (small bugs) to live longer on indoor surfaces by capting them naturally or artificially created. These techniques involve placing sensors under surveillance devices like TV monitors or drones while watching these things. By connecting each sensor separately, they become more accessible over long periods of time compared to other methods such as visual observations alone. Additionally, there may also include fuzzy logic algorithms used during image analysis to detect specific patterns within captured videos. Overall, this innovation provides technical benefits including enabling continuous tracking and storing large amounts of behavioral data about minute individuals, making it suitable for studying biological processes related to smaller species.

Problems solved by technology

This patented technical problem addressed by this patents relates to studying tiny insect movements like mothers' gestation pattern, which plays crucial roles during its lifespan. Existing techniques have limitations due to factors including human bias and lacked precision. Therefore there needs better ways to study minute insect movement without having physical observations taken from outside sources.

Images