Real Estate
General Insurance
Government
Fintech
Gas & Petroleum
Employee Benefit
Government
Community
Hotel & Tourism
Humane Tech
Sports
Disaster Management
As the AI industry is thriving in the digital landscape and uplifting every business vertical, a leading market leader in the mobile phone refurbishment and replacement industry approached Seasia to detect the extent of screen damage in mobile devices automatically. It would help save a huge time, costs, and efforts required throughout the manual inspection and tagging of all the inventory coming into their warehouses.
Automated approach for visual inspection of the screen from varying angles, which ensures a robust data capture mechanism, with minimal efforts.
Seamless detection and grading screen damage throughout multiple mobile phone models and screen types, with higher efficiencies.
Trained to operate across latest brands of mobile devices; as adjunct information, the algorithm even recognizes the phone make and model.
Seasia established a digital vision-based identification system for detecting cracks on the mobile screen. Backed by CCD (charge coupled device) camera, images of the mobile’s screen on the industrial assembly line are received. The camera is further revolved from different viewing angles through detection of the mobile to evade the cracks that couldn’t be spotted from specific viewing angles. Once done with that, the received RGB model images are converted into HSI color format.
Backed by Nanonets and NSFW classification, general object detection, and OCR, image processing and deep learning models become hassle-free and make the user’s job easy. In addition, the simple and user-friendly model will enable users to rapidly build their own custom model by uploading the data and labeling them, and the Nanonets API further helps in identifying if the screen is cracked or not.
What Our Clients Say About Us
Latest Insights
As a global leader in digital transformation, Seasia Infotech feels immensely proud to announce the expansion of its EdTech solutions…
Natural Language Processing has emerged as a key driver of innovation in the modern enterprise by helping organizations derive actionable…
91% of managers are currently (54%) or planning to (37%) use AI within their investment strategy or asset-class research. These…
Do you ever wonder how streaming services like Netflix and Prime Video are so good at suggesting your next binge-worthy…