What is our primary use case?
I used
OpenVINO for almost three years, starting in 2020. My initial use case involved attempting to connect or run models using quantization within cameras as edge devices instead of processing all input frames on a server. This was aimed at performing surveillance analysis within the home, like fire detection or human fall detection.
What is most valuable?
I found
OpenVINO's ability to convert custom models into its format particularly beneficial, as businesses sometimes require unique models specific to their use cases. Utilizing OpenVINO allowed me to run these custom models on devices directly, which I found quite impressive. Additionally, the Model Zoo offered by OpenVINO added value to the product.
What needs improvement?
One improvement could be making OpenVINO less dependent on Intel-based processing chips. Expanding cross-platform compatibility, allowing it to work beyond Intel and its edge devices, would be beneficial. It should support different hardware platforms with certain requirements rather than being hardware-dependent.
For how long have I used the solution?
I used OpenVINO for almost three years.
What do I think about the stability of the solution?
OpenVINO occasionally experienced breakdowns, especially when I was running it in production environments. Issues like overload or out-of-memory were not uncommon. However, the Intel team was helpful in resolving these, especially when I was converting large models. Despite occasional problems, updates have improved its stability.
What do I think about the scalability of the solution?
Scalability is a challenge with OpenVINO, particularly when I try to connect multiple streams of input or run multiple edge devices consecutively. I found it unclear how to scale it effectively, as running two cameras was similar to one, but scaling to one hundred was problematic.
How are customer service and support?
Intel's support team is very good. They are responsive, whether I contact them via Discord or email. They assist thoroughly, asking relevant questions to understand the environment and provide solutions. I rate their service around eight out of ten.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
I tried partnering with Intel, using their 3D cameras and OpenVINO, but due to scalability issues, I decided not to proceed.
How was the initial setup?
The initial setup is quick for those with technical expertise. I found installing it in
Ubuntu OS easier, given its command-line nature. Although Mac is also manageable, Windows can be more challenging and requires more steps.
What's my experience with pricing, setup cost, and licensing?
The OpenVINO software itself is open source and not priced. However, I found edge devices, such as cameras, can be somewhat expensive, around $150.
What other advice do I have?
I recommend OpenVINO based on use case. It works well for one or two cameras but struggles when scaling to a large number. Overall, I rate OpenVINO around 6.5. My experience is from one and a half years ago, so current conditions might be different.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
