## Introduction
Well, recently I have found that anomaly detection is used in airports using cameras, and it is also related to theft detection using cameras. I guess these anomaly detection techniques are quite close to drift detection techniques. Since there is novelty detection (involving human workflow) and anomaly detection (involving ML workflow), these cameras need such code, especially oneAPI is the necessary route.
## Licensing
I have observed that OpenVINO removed its licensing in 2020 - 2021. oneAPI takes a similar approach, and it will be accessible to developers who can actually install these cameras in sites. This is quite Open. I would like to tag this article,
## Some concerns
The stakeholders are concerned about privacy issues whenever a camera is installed on site. They tend to follow their human workflows and prioritize that if AI is not available. A closed solution that works with the industries is not only expensive, but also faces issues with usage of GPUs just because their licensing is not following Open standards.
## What do companies think?
The companies think they can just carry on with monitoring instead of integrating Observability into the sectors, which is essential in this age where AI chips and Quantum computing are popular. The MoD has recently entered into a contract with Orca Computing to buy Quantum Computer. The advancement is huge as of now, and there are opportunities in AI to integrate observability into industries and to employ Data Scientists in various fields.
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