Image Classification
Cutting-edge Image Classification solution that leverages the unique capabilities of the Intel Neural Compute Stick 2
This case study highlights how Onix ensured integration that combines the power of AI with the advantages of edge computing, bolstered privacy measures, and access to Intel's robust AI ecosystem.
Automatic Electric Drive
Industry
10 specialists
Team size
Kyiv, Ukraine
Location
2022 – 2023
Project duration
In the contemporary landscape, industrial enterprises encounter many intricate image classification challenges that significantly influence their operations.
These multifaceted image classification challenges directly impact operational efficiency, product quality, and safety within industrial enterprises.
The responsibilities of the Onix team included:
Collecting requirements to establish project objectives and define the project scope.
Ensuring a development process that is efficient and transparent.
Developing software that offers real-time image classification and analysis, eliminating delays experienced with cloud-based solutions.
Integrating Intel Neural Compute Stick into an image classification pipeline, ensuring an app runs sophisticated AI models directly on user devices without cloud processing.
Incorporating dependable and cutting-edge technologies to guarantee the software's high performance and seamless functionality.
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The Onix team crafted a reliable solution that benefits five user groups:
01
02
03
04
05
Solutions we provide
Our team integrated the Intel NCS2 with the core application, optimizing the machine-learning models with the OpenVINO toolkit. This ensures the models run efficiently on the NCS2, providing users instantaneous classifications. The backend seamlessly detects the presence of the NCS2 and reroutes image processing tasks directly to it.
Our team created an intuitive feedback mechanism in the UI, allowing users to flag incorrect classifications quickly.
Business goals we helped to achieve:
Real-time image analysis
The software offers real-time image classification and analysis, eliminating delays commonly experienced with cloud-based solutions.
Data privacy and security
With edge computing capabilities, businesses can assure customers that their images are processed locally and aren't uploaded or stored in the cloud, thereby addressing data privacy concerns.
Cost-effective solution
Businesses can reduce infrastructure expenses tied to maintaining large cloud-based processing servers.
Scalability
Since the computational load is distributed and not centralized, businesses can easily scale the solution to more users without significant backend enhancements.
Core technology stack we used
Results
Our client now possesses a finished product that stands as a testament to innovation and efficiency. The outcome is a versatile, robust, and exceptionally user-friendly image classification application meticulously optimized for seamless integration with the Intel Neural Compute Stick 2.
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