Video analytics with artificial intelligent is based on a series of algorithms and mathematical procedures, which work like a series of questions to compare the object seen with hundreds of thousands of stored reference images of objects in different angles, positions and movements. Artificial intelligent algorithm asks itself if the observed object moves like the reference images, whether it is approximately the same size height relative to width, if it has the characteristic two arms and two legs, if it moves with similar speed, and if it is vertical instead of horizontal. Many other questions are possible, such as the degree to which the object is reflective, the degree to which it is steady or vibrating, and the smoothness with which it moves. Combining all of the values from the various questions, an overall ranking is derived which gives the algorithm the probability that the object is or is not a human, a vehicle or an object.