Someone expert in time series image classification with Deep Learning, LSTM, Auto Ancoder, CNN, RNN

Hello, I am working in an interesting project. If you are interested and have the experience on the following topics, I would be happy if you kindly help me. In the project I want to use Deep Learning for time series image classification. More clearly, I am trying to develop a solution that will classify time series image data to detect abnormality or anomaly of a running machine in a factory. In this case, a camera will take 2 pictures in every second of a running machine, continuously. As I am planning to use Deep Learning, so at first, we will take thousands of pictures of normal running machine state and classify it as 1. We also took many picture of abnormal running state of the machine, and classify it as 0. In this way, we will train our system with thousands of images of normal and abnormal state of the machine. After that we will take real time test image of the running machine and these test images will classify based on the training images (1, or 0). In the net, I find that there are many image classification algorithm and open source. But I did not find exactly what kind of algorithm, tools I should use to classify time series image data. If you have any idea, please let me know. I will pay you for this. In addition, in the internet, I also find that LSTM, Recurrent Neural Networks, Convolution Neural Network, and Auto Encoder might be used for time series image classification. But did not find any good solution with this algorithms. Could you please let me know if you have any idea about this problem? Thank you and waiting to hear from you soon. Regards,