An fused localization algorithm based on image processing and received signal strength indication is proposed to reduce the hardware requirements

at the same time

improve precision of positioning.After preprocessing of Gaussian

Kalman filtering and fingerprint base and K-D tree establishment on original signal through improved KNN algorithm preliminary screening anchor point again after image processing positioning to get exact anchor point of the unknown node.Experimental results show that compared with the RSSI triangulation localization and binocular camera positioning method

the method in the range of 3 m has high precision and in range of 3～10 m

effect is excellent

and compared with other algorithms

the identified time is shorter

the number of equipment required is smaller

the stability is stronger

and it is more suitable for precise positioning scenes of daily life and industrial

such as sorting

etc.