| I&T Solution |
AI Image Recognition for Vehicle Part System
(REF: S-1969) |
| Trial Project |
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| Solution Feature |
- A vehicle part detection system that identifies a vehicle part to get respective data by a photo taken with over 90% accuracy and at a high speed of less than 1 second.
- A mobile app for onsite vehicle part detection, retrieving identified part's data, and procurement and stock support
- A platform integrates with existing inventory and procurement systems via API
- An AI model with photo library and vector management system that works with a photo of partial occlusion, different shooting angles, a large number of vehicle part classes, and fine-grained classification.
- An AI model and training approach that addresses the challenges of data-hungry application cases (while inadequate data is available) and frequently updated new vehicle parts (through easy and simple steps in minutes).
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| Trial Application and Expected Outcome |
- An online platform and mobile application (iOS) that can accurately identify the vehicle parts using image recognition technology to perform searching and instantly return the parts information
- Provide a workstation with multi-angle camera(s) to capture standardized photos of vehicle parts, in term of size and angle, for creating a high-quality image library for AI model training and validation
- Automatically recognize the part’s features, barcodes and characters marked on the parts to populate the system database
- Automatically generate email and SMS templates with part numbers, specifications and required quantities to potential contractors, while supporting users to revise the content for the template
- Design APIs to retrieve data from multiple databases, including internal systems (such as procurement, maintenance and asset management) and external systems to obtain part’s information, such as manufacturer codes, EAN/IAN codes, universal codes, models, part numbers, etc.
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| Additional Solution Information |
poster.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | imimr systems limited | | Address | : | Unit 2, 15/F, Lemmi Centre, 50 Hoi Yuen Road, Kwun Tong , Kowloon, Hong Kong | | Contact Person | : | KC Lee |
| Position | : | Business Director | | Tel | : | 31881788 | | Email | : |
kc@imimr.net | | Webpage | : | www.bizby.ai ; www.imimr.com |
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