Cloud brings privacy challenges to computer vision developers. How do we deal with privacy laws and violations when using cameras to identify people? Developing algorithms that tracks patterns without disclosing the identity of an individual when tracking the mass public. Exploring the uses of deploying computer vision on the edge, to prevent data being sent to the cloud, thereby eliminating the possible transmission of personally identifiable information (PII). Increasing your competitive advantage by being transparent about how your organisation processes, uses, and protects visual data. An evaluation of the effects of giving more privacy control to the public by enabling consumers to opt out of data tracking, therefore meaning when the system tracks a person, reidentification is disabled, so the data of everything they do in the location is not processed and analysed.