  The advent of the era of machines has limited human interaction and this has
increased their presence in the last decade. The requirement to increase the
effectiveness, durability and reliability in the robots has also risen quite
drastically too. Present paper covers the various embedded system and computer
vision methodologies, techniques and innovations used in the field of spray
painting robots. There have been many advancements in the sphere of painting
robots utilized for high rise buildings, wall painting, road marking paintings,
etc. Review focuses on image processing, computational and computer vision
techniques that can be applied in the product to increase efficiency of the
performance drastically. Image analysis, filtering, enhancement, object
detection, edge detection methods, path and localization methods and fine
tuning of parameters are being discussed in depth to use while developing such
products. Dynamic system design is being deliberated by using which results in
reduction of human interaction, environment sustainability and better quality
of work in detail. Embedded systems involving the micro-controllers,
processors, communicating devices, sensors and actuators, soft-ware to use
them; is being explained for end-to-end development and enhancement of accuracy
and precision in Spray Painting Robots.
