HoloSense Smart Vision
HoloSense Smart Vision is an intelligent camera vision training platform designed for the Chinese market to complement Huawei’s Security Camera ecosystem.
The platform empowers business owners using Huawei’s surveillance systems to custom-train their cameras for a range of security, compliance, and operational scenarios. By combining AI-driven computer vision with a user-friendly training interface, HoloSense enables organizations to adapt existing hardware into smarter, context-aware monitoring systems tailored to their unique needs.
Year
2019 - 2022
For
Huawei Technologies
Role
Front End & UX SDE Contractor
Tech Stack
VS Code, Postman, Angular, TypeScript, HTML, JS, CSS
What is Computer Vision?
Computer Vision is a field of artificial intelligence that enables machines to interpret and make decisions from visual data - such as images and videos. By mimicking human perception, computer vision systems can identify objects, detect motion, recognize patterns, and even understand complex scenes.
It powers applications ranging from facial recognition and autonomous driving to industrial inspection and smart surveillance, allowing computers to “see” and respond intelligently to the world around them.
How Would This Product Help Business Owners and Operators?
Using computer vision technologies to complement Huawei’s security camera product suite for the Chinese market, HoloSense enables business owners and operators to custom-train their existing cameras through computer vision technology for use cases such as - safety compliance, restricted-area monitoring, and behavioral detection — all without needing specialized technical expertise.
And then, the World Stood Still
Cut to early 2020, the COVID Pandemic gripped the general public and all forms of organized industry, bringing everything to a standstill. Our product team found a new use case scenario -
Ensuring and enforcing the strictest health & quality standards in the food packaging industry to prevent the collapse of food supply chains in a global pandemic.
We therefore needed to build an easy to use web application that
Allows users/businesses to mass upload images and video footage of their manufacturing & processing facilities. A good data sample set for computer vision training requires at least 2000 images and video samples per facility space/area.
With the uploaded images and footage, users need to be able to annotate and mark content for specific characteristics as positive or negative as per their use case. I therefore, built the core features of the data annotation tool within the web platform.
Communicate the effectiveness of the data annotation process after running the vision training model.
My Contribution!
Built the front-end UI for the computer vision training web platform that enabled users/operators to upload video footage and photographs of their manufacturing/packaging facilities that trains the camera system for restricted-area monitoring and behavioral detection.
The product is live and active in chinese markets and was a huge success after testing extensively at seafood packaging plants. Unfortunately, the product isn't accessible in other countries.
Implemented and scaled the design system, implementing UX patterns, visual design, structured components and interactive animations.
Built 40+ resonponsive components and webpages with REST API integration.
Improved site performance & efficiency by reducing cyclometric complexity by 28%
I also served as the UX copywriter for the english version of the platform.
The Product
Built the front-end UI for the computer vision training platform that enable users/operators to upload video footage and photographs of their manufacturing/packaging facilities that trains the camera system for restricted-area monitoring and behavioral detection.
Implemented and scaled the design sytem, implementing UX, visual design & structure and interactive animations
Built 40+ resonponsive components and webpages with REST API integration
Improved site performance & efficiency by reducing cyclometric complexity by 28%
I also served as the UX copywriter for the english version of the platform
My Contribution!
Built the front-end UI for the computer vision training platform that enable users/operators to upload video footage and photographs of their manufacturing/packaging facilities that trains the camera system for restricted-area monitoring and behavioral detection.
Implemented and scaled the design sytem, implementing UX, visual design & structure and interactive animations
Built 40+ resonponsive components and webpages with REST API integration
Improved site performance & efficiency by reducing cyclometric complexity by 28%
I also served as the UX copywriter for the english version of the platform
My Contribution!
Built the front-end UI for the computer vision training platform that enable users/operators to upload video footage and photographs of their manufacturing/packaging facilities that trains the camera system for restricted-area monitoring and behavioral detection.
Implemented and scaled the design sytem, implementing UX, visual design & structure and interactive animations
Built 40+ resonponsive components and webpages with REST API integration
Improved site performance & efficiency by reducing cyclometric complexity by 28%
I also served as the UX copywriter for the english version of the platform