The proctoring solution's AI algorithms are meant to detect and highlight any suspicious or unusual activity that could indicate cheating or dishonesty. These behaviors may include looking away from the screen, chatting with someone away from the camera, or attempting to access unauthorized...
This solution will evaluate between several deep learning models of various architectures on the user provided data. It will identify the best performing deep learning model architecture on the basis of validation metric for image classification. This will reduce the time and effort for the...
Algorithm - Fulfilled on Amazon SageMaker
PCB Anomaly Detection is a computer vision-based machine learning solution to identify defects in Through-Hole PCBs. The algorithm identifies 6 different kinds of defects: Missing Hole, Mouse Bite, Spur, Open Circuit, Short Circuit, Spurious copper. The algorithm takes reference PCB templates for...
Algorithm - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/tf2-preview/mobilenet_v2/classification/4). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images...
Model Package - Fulfilled on Amazon SageMaker
CapMate is an automated caption/subtitle QC and correction software. Delivering high quality captions or subtitles can be very costly due to significant manual intervention required in identifying and rectifying a variety of issues in the captions received from suppliers or exported out of...
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_shufflenet_v2/). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different...
Model Package - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/faster_rcnn/resnet50_v1_1024x1024/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the...
Model Package - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/efficientdet/d3/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the task is to identify...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/efficientnet/b1/classification/1). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of...
Model Package - Fulfilled on Amazon SageMaker
Surface defects in copper strips poses quality and performance risks. Classifying defects enables for the rapid identification and removal of the causes of their occurrence, as well as the provision of appropriate treatment to fix them. This Deep Learning-based solution identifies four classes of...
Algorithm - Fulfilled on Amazon SageMaker
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