9 tips to build complex computer vision software

9 Key Tips for Building Complex Software Solutions: Insights from a Consultant

Are you planning to build a complex software solution? In this article, I’ll share nine tips and common mistakes to avoid when developing such software. These insights come from my experience as a competition consultant and developer, building custom software for companies. This post is based on a video where I explore behind-the-scenes aspects of complex software projects.

1. Define Clear Objectives

When working on complex software, defining a clear objective from the start is crucial. This involves thoroughly discussing the project with your client to understand the exact requirements. Does the client need vehicle counting, object classification, or movement tracking? Every small detail must be clarified to avoid costly mistakes later. A vague objective can lead to incorrect assumptions, delays, and budget overruns. Always ask questions until the project scope is crystal clear.

2. Build a Proper Structure from the Beginning

Think of software like constructing a building. You wouldn’t build a skyscraper on shaky foundations, and the same applies to software. Without a solid structure, every minor change will become exponentially harder to implement later. Invest time upfront to plan your software architecture. Tools like moqups.com or drawio.com can help you create class diagrams and visualize your system’s structure, saving you time and frustration down the line.

3. Choose the Right Technology

This step is perhaps the most important for building complex computer vision. The choice of technology is vital for the success of your project. Before starting, determine what platform your software will run on (e.g., desktop, web, or embedded devices like Raspberry Pi). Will it need a user interface? If yes, what kind? Consider the future scalability of your software, as some technologies are easier to implement initially but may create issues as your project grows. To simplify this step you can also evaluate our Object detection course that guides you with practical examples of the right technology to use.

4. Delegate Simple Tasks

Delegating non-core tasks can significantly speed up your development process. For example, if you’re working with machine learning models, data annotation is a time-consuming but straightforward task. Hiring freelancers for jobs like image annotations can free up your time for more critical tasks. Platforms like Fiverr and Upwork are great places to find affordable talent for such jobs.

5. Develop Tools to Automate Repetitive Tasks

Efficiency is key in complex software development. For one project, we had to extract images from hundreds of videos for training purposes. Manually performing this task would have taken weeks, so we built a tool that automated the process, saving us considerable time. Look for opportunities to create internal tools that can streamline repetitive tasks and improve productivity.

6. Prioritize Tasks Based on Importance

When developing software, focus first on the core functionalities. Once these are complete, you can move on to less critical aspects like user experience and design. Developing a user interface before the core software functions are solid can waste time and create unnecessary complications.

7. Avoid Underestimating Time and Complexity

It’s common to underestimate the time required for a project, particularly with complex software. This can lead to underpricing and time crunches. Before tackling a large project, build your skills with smaller, incremental tasks. As you grow more confident, you’ll be better equipped to handle larger projects and provide more accurate estimates.

8. Focus on One Project at a Time

Handling multiple complex projects simultaneously can lead to mental exhaustion and inefficiency. It’s difficult to switch between projects that require deep focus, and this can significantly slow your progress. If possible, dedicate yourself to one project at a time to ensure high-quality results.

9. Plan for Maintenance and Updates

Complex software is rarely a “one-and-done” project. Bugs will emerge, and updates will be necessary over time. Make sure your contract includes provisions for ongoing maintenance and support, so you and your client are both clear on expectations.

Conclusion

Building complex software solutions is a challenging yet rewarding process. By following these nine tips—defining clear objectives, structuring your project properly, choosing the right technology, delegating tasks, automating processes, prioritizing key functionalities, accurately estimating time, focusing on one project at a time, and planning for future maintenance—you can avoid common pitfalls and deliver high-quality solutions to your clients.