Prediction of Pedestrian movements
New or Enhancement of existing algorithms
Our Capability
Predicting pathways pedestrians is important at intersections to human safety and have to be considered by several factors including-built environment, other individuals, and object as a person is surrounded by weather, age, their trajectories and social behaviour affecting the pathway. Accurate prediction of the pedestrian path is a priority to design a reliable system for tracking the movements of humans in a crowd. Our concept recognizes pedestrians on the road and applies machine learning algorithms to learn pedestrian’s behaviour and predict the next move. Compared to other algorithms, our model performed well in terms of the accuracy of long-term prediction in high-density videos.
Setting Up a goal – Defining Use Cases and the Business Process flow
Determine exactly what your business requires. An application can have more than one functionality, and each function can have many uses cases. We help you to define use cases before beginning business requirements. Our team of developers and subject experts works along with you to understand the business process flow breaks down such as into input, output and sub-processes along with the order, interactions, and decision flows between them.
A Data Dictionary Development & Capturing Existing data
Data dictionaries are critical to understand, contextualize and translate programming logic into business rules. Once the process flows are documented, our team of experts develops a data dictionary encompassing all data elements in the application and their business and functional description. Subsequently, establish data collection mechanisms.
Visualize data Pipeline
Develop business rules, annotation /categorization with meta-data and Implementing components of a pipeline. through system architecture and conceptual design that meets outlined requirements. Incorporate requirements of the relevant certifications, regulations, and formal market constraints. Defining the methodologies to be used in building software. Follow best practices and industry standards
Develop, Validate & Deploy Data Models
Collect the relevant data and analyse or develop an algorithm to discover useful insights for making business decisions. Continuously assess the performance of your algorithm and make refinements if necessary.
