An end-to end solution using Computer Vision and
Deep Learning to help you keep track and monitor
activities within the warehouse
An end-to end solution using Computer Vision and Deep Learning to help you keep track and monitor activities within the warehouse
What is the solution about?
With huge sized warehouses and hundreds of employees working within these warehouses, it is often difficult to track the efficiency and movement of employees. Our solution uses the cameras in your warehouse, applies computer vision and deep learning algorithms, to track employee activities and improve efficiency on the whole.
What are the benefits of using this solution?
What does the system do on the backend?
On the backend, abstracted from the user, the system is accessing the camera feeds in the warehouse, runs complex Machine Learning algorithms that detects body posture of employees and classifies them into four primary categories: Lifting, Sitting, Standing and Walking and stores the data for analysis.
What can we analyze using this system?
- Track Key Activities in the warehouse such as: Walking, Sitting, Standing and Lifting Items in order to derive idle time and efficiency.
- Each zone in the warehouse can be analyzed individually. This will give an understanding of each zone’s activity breakup and how the efficiency of each individual zone can be optimized.
- We can also use an array of other filters and interactions to analyze further and draw important insights from reports.
Want to know more?
If you think this solution would be useful for your organization or you have a relevant use case or pain point you would like to tackle, get in touch with us today and we can help you and work together towards a solution!