AI and AWS edge Computing Solutions
Leopard Imaging offers customization and design services tailored to your specific vision application requirements
Deep learning platforms use a unique form of ML that involves artificial neural circuits with various abstraction layers that can mimic the human brain, processing data and creating patterns for decision making.
A digital twin/AI modeling is a software construct that bridges the gap between physical systems and the digital world.
Emotion recognition allows software to “read” the emotions on a human face using advanced image processing or audio data processing.
Image recognition is the process of identifying and detecting an object or feature in a digital image or video, and AI is increasingly being stacked on top of this technology to great effect.
Machine learning (ML) is a subdiscipline of computer science and a branch of AI. Its goal is to develop techniques that allow computers to learn.
Marketing automation allows companies to improve engagement and increase efficiency to grow revenue faster. It uses software to automate customer segmentation, customer data integration, and campaign management, and streamlines repetitive tasks, allowing strategic minds to get back to doing what they do best.
This video demonstrates object tracking of basketballs and people.
This demo shows the calculation of people counting within two red lines in two ways. The green line is the gate to calculate the movement direction of people. The mass center of each targeted people is labeled as a green point with a unique ID.
We demonstrate face detection, face alignment, face recognition, and gender & age recognition algorithms. Face recognition is performed using on a 4-person gallery set.
We demonstrate a road object detection algorithm, capable of determining the bounding box, object category and detection probability of common road objects.
In this video, we demonstrate car detection, license plate detection and recognition of the license plate content.
Leopard Imaging released this demo of human key points detection for future gesture detection.
Leopard’s AICam TX2 Box camera combines integrated AWS edge computing using AWS IoT Greengrass and ML capabilities with highly optimized local inference through Amazon SageMaker Neo. In addition, the AICam also offers Amazon Kinesis Video Streams support out of the box for direct streaming applications.
AWS IoT Greengrass makes it easy to perform machine learning inference locally on devices, using models that are created, trained, and optimized in the cloud.