Open AI SDK that offers diverse application possibilities > News ...
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Introduction to AI Development Cases
This newsletter serves as an introduction to specific development cases utilizing our open SDK. This allows customers to directly port AI learning models to our cameras for various applications. Below are some real-world examples shared with the consent of our customers:
Our customer company classified about 20 types of car license plates using AI models ported onto Eyenix SOC-based cameras. The models were designed to extract numbers and characters, enabling accurate license plate recognition.
Here is a breakdown of the license plate classifications:
- Year 1996 - Personal Vehicle - License plates with regional names such as Seoul, Gyeonggi, etc.
- Year 2004 - Personal Vehicle - National license plate without region name
- Year 2006 - Personal Vehicle - One-line, long license plate without region name
- Year 2006 - Commercial Vehicle - One-line, long license plate without region name
- Year 2006 - Commercial Vehicle - License plates with regional names such as Seoul, Gyeonggi, etc.
Car License Plate Classification
Our customer company classified about 20 types of car license plates using AI models ported onto Eyenix SOC-based cameras. The models were designed to extract numbers and characters, enabling accurate license plate recognition.
Inference Algorithms
For post-processing tasks, a native C application was developed in collaboration with Seyeon Tech. Customers highlighted the following key points during development using SDK 4.0:
- Possibility of porting multiple AI learning models
- Support for post-processing and metadata transmission
- API support for video and AI information processing
- Display of bounding box and metadata information in the browser
Customers can now independently port their own databases and learning models to our cameras, enabling edge AI technology implementation.
Forest fire and smoke detection using deep learning-based learning ...
For post-processing tasks, a native C application was developed in collaboration with Seyeon Tech. Customers highlighted the following key points during development using SDK 4.0:
Customer Commercialization Cases
The customer company mentioned in this context has successfully commercialized License Plate Recognition (LPR) and is now exploring flame and smoke detection models. They are also working on instrument panel recognition and specific number recognition at construction sites.
The customer company mentioned in this context has successfully commercialized License Plate Recognition (LPR) and is now exploring flame and smoke detection models. They are also working on instrument panel recognition and specific number recognition at construction sites.
CAST AI Automatically Reduces the Cost of Deploying Generative AI ...
The customer company mentioned in this context has successfully commercialized License Plate Recognition (LPR) and is now exploring flame and smoke detection models. They are also working on instrument panel recognition and specific number recognition at construction sites.
Conclusion
If you require support for technology development or wish to explore related opportunities, we can connect you with relevant companies in the field.
Seyeon Tech is a leading IP camera development, production, and sales company in Korea, offering an open AI SDK and collaborating with various AI software providers. For more information, visit our website: flexwatch.com
