Features of AI image software

Computer vision & deep learning experts, JM Vistec provides the best deep learning model which optimizes and reduces weight for embedded systems for everyone who wants to utilize deep learning technology without professional knowledge. JM Vistec System creates deep learning models easily though auto deep learning for non-experts. Auto deep learning algorithm self-discovers optimal hyper-parameters, making it very easy for everyone to obtain the best-performing models. Auto deep learning intuitive GUI & advanced data management system. It can proceed with your deep learning projects step by step with a powerful data management system such as label comparison and multiple image/label sets. Our AI image recognition software collaborates with various users from any device simultaneously. Customers can share their project with internal coworkers and external partners through the local cloud server. Our Ai imaging software can easily utilize on any devices in customer’s hands based on the server-client system. Customers can apply our AI deep learning to various processors including embedded device on PC based platform and embedded based platform. PC based platform suitable for any type of deep learning models can be run on a PC with fast processing time. Customers can create light-weight models and inference them on embedded devices such as smart camera. In the machine vision industry, it is difficult to select the most effective model type and deep learning architecture for different types of the images, so continuous trials to train models are always required. Besides, turning various hyper-parameters is choosing the right one among the various hyper-parameters and combining among each hyper-parameter has a great impact on training. However, without typing, we cannot be sure what parameter is appropriate. JM Vistec System technical competency will certainly value-add your businesses to come. Learn more today on our AI deep learning solution and get AI image software consultation from our professional team now.