24Mar-20

Automated Fruit Blemish Detection and Sorting Automation for a Spanish Agricultural Firm

Challenges A Spanish agricultural company wanted to be able to automatically detect grades for oranges using image processing to identify colour.The company needed unique hardware using a camera interface logic to run a sorting algorithm.The system needed to bring individual oranges into the frames of multiple cameras at the same time.Having graded each orange, the system would need to send the fruit to its respective container. Xpertnest’s Solutions Xpertnest developed a conveyer belt system to bring the oranges into frame.Designed and developed a processor to implement a sorting algorithm.The algorithm detected blemishes and differentiated between yellow and green skin.Enabled the possibility of...

Category: AI & ML, Success Stories 0
24Mar-20

Vehicle Number Plate Recognition for CCTV Vendor

Challenges A CCTV vendor wanted an algorithm that could recognize vehicle number plates from images, recorded video, and even live video streaming.The algorithm needed to be fast enough to detect numbers from fast-moving vehicles.The program needed to create an automatic entry and exit log for vehicles. Xpertnest’s Solutions Xpertnest developed a segmentation algorithm to localize number plates from vehicles detected from images, recorded video, and live video.Enhanced the number plate to apply thresholding and character segmentation.Applied an Optical Character Recognition(OCR) algorithm to recognize numbers on the number plate. Value Delivered The vendor could promote the system for maintaining vehicle records, detecting rules violations, generating...

Category: AI & ML, Success Stories 0
24Mar-20

Image Stitching for a United States-Based Company

Challenges A US company needed to stitch together microscopic images for deployment on an Android application.The images had uniform backgrounds and to some extent a uniform foreground too, requiring a robust algorithm to detect edges and stitch connections. Xpertnest’s Solutions Xpertnest developed an automated microscope that generated a grid of partially overlapping images.Created an algorithm that could match the features of neighbouring images whether rotated, scaled, or translated.Used the algorithm to stitch hundreds of overlapped image tiles to create a mosaic image Compute the translation of neighboring images Estimate image overlap and computer camera angle Replace computed translation with high uncertainty with estimated median value Optimize...

Category: AI & ML, Success Stories 0
24Mar-20

Text Detection and Recognition from Advertisements

Challenges A company needed to detect and recognize characters and numbers in the text of advertisements.To save server space, extracted information needed to be uploaded as text instead of as images.Detecting characters and numbers in different fonts and on a non-uniform background is particularly difficult. Xpertnest’s Solutions Developed a segmentation algorithm to localize text.Trained a machine learning model to detect text from images.Built an Android application to access a video stream from a server or capture an image, apply text detection and recognition, and upload text data to the server. Image processing of live video Identifying text from live video Recognize characters and understand meaning Store...

Category: AI & ML, CMS, Success Stories 0
24Mar-20

Real-Time, Multi-Object Detection for a Driverless Vehicle for a UScompany

Challenges A US-based company needed to identify in real time road hazards such as vehicles, pedestrians, strollers, traffic lights, and traffic signs.Identified objects needed to be fed to another system where a driverless vehicle could take action.To ensure accurate detection and classification, the system needed to be trained for multiple iterations and fine-tuned. Xpertnest’s Solutions Xpertnest trained deep learning models to detect and classify different objects.Used YOLO V2 architecture, Darknet19, and custom Network in Network (NiN) architecture for object detection and classification.Integrated a lane detection algorithm into the system. Value Delivered The YOLO (You Only Look Once) architecture enabled the algorithm to scan a...

Category: AI & ML, Success Stories 0
15Mar-20

Augmented Reality Solution for Telecom Field Engineers in the UK

Challenges Field engineers struggle to find installed devices that are underground or hidden behind trees or other installations.A company in the UK wanted to identify the location of installed network assets and easily review the history of installations and fixes.No prepared solution was available. Xpertnest’s Solutions Xpertnest created an AR solution that allowed engineers to open a function or app and, using the location, augment the network onto the screen. The app overlaid and labelled infrastructure on the screen.The solution displayed associated routing detail for each node, such as serving Splitter IDs and spare CBT ports, and highlighted nodes on their route.The...

Category: AR/VR, Home, Success Stories 0

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