Low contrast between an object and its background

Low contrast between an object and its background makes video analytics more challenging. Video analytics algorithms rely on distinguishing features and differences between objects and their surroundings to detect and analyze activity. When contrast is low, it becomes harder for these algorithms to accurately identify and track objects, leading to potential errors and reduced performance. Axis documentation highlights the importance of adequate contrast for effective video analytics and suggests measures to enhance contrast where necessary.