Deployed to over 500 lanes in Malaysia, our VehicleTrack solution is capable of making real-time inference at the edge to automate toll payments, producing key data such as images, vehicle classification and licence plate recognition that need to be streamed to the cloud.
With AWS services such as IoT Greengrass, Kinesis, Lambda, OpenSearch, and Sagemaker, we are not only able to seamlessly deploy code from cloud to edge, but also to develop a data pipeline that allows for data-driven decision making. This subsequently contributes to faster iterations of model training that enables us to achieve model accuracy goals in a timely fashion.
Our VisionTrack solution leverages vision, real-time edge AI inference, and the cloud to eliminate low-skilled labor while performing at a high efficiency. We design our solution to be horizontally scalable, allowing us to provide solutions ranging from product defect detection all the way to automation of driving assessment.
Instrumental AWS services such as Kinesis, EC2 and Sagemaker have enabled us to achieve requirements for real-time inference and streaming data in real-time and training models with blazing speed.
We capture real-time processes and understand event patterns for smart sustainable cities to improve quality of life, efficiency of urban operations and services
Vehicle Recognition for Public Safety
Traffic Violation and Flow Monitoring
Road and Walkway Condition Monitoring
Experience the power of vision technology firsthand – request a demo today and see how our innovative solutions can transform your business!