Use of robots in ophthalmic surgery to improve control of movement, vibrations termination, vision, and distance detection, makes it easier to perform complex eye surgeries. The use of Artificial Intelligence (AI) in ophthalmology is finding its way in ocular surgery that utilises surgical robots with specialized microscopes and visualization systems for surgical process. Proper visualization process in ocular robotic surgery can be achieved by introducing image recognition techniques in the robots. Image recognition for surgical instrument detection and segmentation of the surgical areas can be performed effectively through using AI based approaches such as deep learning techniques. In this article, the use of robots and ophthalmology tele surgery is examined, along with the obstacles impeding its quick development. Performance of various deep learning-based image recognition approaches are compared using metrics such as Accuracy (95%), Recall (91%), Error (0.05), and Precision (90%). Through this study, it is suggested that AI technologies are needed to reduce resource scheduling problems in tele-surgery and improve reliability and efficiency of ocular surgery.