Thanks to feature tracking, bundle adjustement, correlation techniques as well as point clouds and mesh fusion, imajing enables its clients to evolve in a reconstructed 3D environment of their network.
imajing has developed a complete machine learning pipeline for processing different kind of surveys published on imajnet® web platform.
Imajing is constantly enlarging its machine learning models and recognition algorithms to automatically identify, characterize and geo-reference all visible equipment along surveyed zones.
This process is convenient for large data volumes, where many assets have to be geo-referenced. We currently propose a railway model, a road sign model, a road utilites model and a streetlight model. In a recurrent survey approach, machine learning also brings automatic change detection.
To preserve privacy, and comply with GDPR rules, imajing has developed a process to anonymize imagery by blurring faces and car plates.
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