What are computer vision projects?
Computer vision projects involve the application of AI and image processing techniques to analyze and understand visual data. Examples include object detection, facial recognition, and autonomous driving, revolutionizing industries such as healthcare, retail, and surveillance.
The development of Computer Vision solutions can accelerate and automate working processes but it still requires human engagement to achieve successful delivery and adoption. Identifying key stakeholders in your project and building an effective communication strategy can bring your business added value. Who are the main stakeholders in Computer Vision?
Primary stakeholders in Computer Vision
Usually, primary stakeholders include people that directly affect project success. We have described 4 roles in Computer Vision projects that are essential at every stage of cooperation, whether it is R&D, Proof of Concept or the development of a fully-featured product.
A client’s role in a project is the most important: the customer is responsible for providing the executing team with the development requirements, verifying delivery and controlling the budget. A customer has a greater influence on project success and should help the Computer Vision team clarify relevant questions to avoid inaccuracy and inappropriate work. Feedback from the client is a factor of effective communication that is a basis for mutually beneficial cooperation.
- Business Analyst
Computer Vision technologies can help many industries to get competitive advantages and Business Analysts help to identify and prioritize the project requirements to improve specific business processes. BA role in Computer Vision projects is a combination of strong technical, functional and domain expertise with a willingness to experiment. Business Analyst is responsible for providing the whole project team with a clear vision of the scope of work, budget and development process building a communication bridge between the client and engineering sides.
- Data Scientist
While Business Analysts focus on identifying neural network-based solutions that can improve business processes, Data Scientists deal with data labeling to build effective algorithms that will make solutions work. Their key responsibility is creating datasets to let Computer Vision get meaningful insights from visual content. The number of Data Scientists in Computer Vision depends on the amount of data you need to label for unveiling visual patterns.
- Computer Vision Engineers
The size and lineup of your development team can vary depending on the complexity of your project but it always involves a Senior Engineer or Project Lead responsible for both the development process and project management. The most important role of engineers in Computer Vision projects is to provide stable work on all stages of the technical pipeline for solving detection, identification and tracking challenges.
Computer Vision teams can also include primary stakeholders as project sponsors, C-level executives, project managers, designers, marketing teams, etc.
Secondary stakeholders in Computer Vision
Usually, secondary stakeholders are external stakeholders who don’t have a direct impact on the financial or technical aspects of your project. By the way, sometimes they can also become primary, so you should never ignore their vision at all. For Computer Vision projects the main secondary stakeholders are the end-users of your app.
Any Computer Vision project has its target audience that determines the value of the implemented solution and can indirectly affect features set or UI/UX changes. End-users can become primary stakeholders in case of User Acceptance Testing conducted with different focus groups: this way received feedback can impact the final product release.
Secondary stakeholders can also include Computer Vision consultants, outsourcing company employees who don’t work on your project or your business competitors.
Regular communication and validating your solution with key stakeholders is a strong development strategy that gives you an opportunity to study deeply your business goals and needs. Stakeholders’ engagement improves understanding of Computer Vision and Data Science components, and therefore the quality and effectiveness of your software solution.
The Exposit team provides full-cycle project development and is always ready to implement your (computer) vision. Contact us to discuss and develop a software solution addressing your industry challenges, business needs and goals.