7 differences between a custom-built Computer Vision AI solution versus the Robovision AI platform
Date Section Blog
Custom Built Vision AI Solutions
Custom solutions provide unparalleled flexibility and control, allowing businesses to tailor the technology to their specific needs. This degree of customization ensures that every aspect of the AI solution aligns perfectly with the business’s operational requirements and unique challenges. However, this comes at a cost—not just in terms of monetary investment but also in time and resource allocation. The development process is often lengthy and requires substantial ongoing investment in both human and technical resources.
Robovision AI Platform
On the other hand, the Robovision AI platform offers a robust, ready-to-use solution that significantly reduces the time and financial investment typically associated with custom development. This platform approach delivers a wide range of computer vision AI capabilities straight out of the box, enabling businesses to accelerate their time to market and avoid the common pitfalls and risks of custom development. While it might seem that using a commercial platform could limit customization, the breadth of features and the adaptability of the Robovision AI platform ensure that it meets a broad spectrum of business requirements effectively.
The following table highlights the differences in investment and operational impact between the two approaches:
Comparative Overview
|
Make
(custom built solution) |
Buy
(Vision AI platform) |
|
|---|---|---|
| Product definition |
Product definition
€
|
Product definition
€
|
| Active R&D phase |
Active R&D phase
€€€€€
|
Active R&D phase
€
|
| Commercialization |
Commercialization
€
|
Commercialization
€€€
|
| Average number of iterations in computer vision project |
Average number of iterations in computer vision project
5
|
Average number of iterations in computer vision project
2
|
| HR cost |
HR cost
€€€
|
HR cost
0
|
| Workload Planning |
Workload Planning
☹️
|
Workload Planning
😀
|
| Retraining AI models |
Retraining AI models
Up to 6 Months – by external AI specialists
|
Retraining AI models
Realtime – by internal domain experts
|
Making the Right Choice
Deciding on the right approach depends heavily on your specific needs and strategic goals. If your business requires highly specialized functionality and you can afford the time and resources for development, a custom solution might be appropriate. However, for most businesses looking to implement solutions swiftly and cost-effectively, the Robovision AI platform offers a compelling alternative that balances functionality with flexibility and ease of use.
Conclusion
Computer Vision AI is transforming industries by enhancing efficiency, productivity, and safety. The journey to integrating this technology, however, involves strategic decisions about whether to invest in custom development or leverage the scalable, risk-mitigated nature of a platform like Robovision. By aligning your choice with your business’s operational needs and resource availability, you can harness the full potential of Computer Vision AI effectively and efficiently.