HoloLab uses cameras at the start and end of the conveyor belt in recycling plants. The first camera detects the products/items entering the line, and the final camera detects what is left at the end. This allows HoloLab to compare what entered, what was picked, and what was missed.
Robots such as ALPHA can be placed along the conveyor belt to pick up selected waste items as they pass. HoloLab can monitor these robots, record their picking activity, and compare robot picks against the camera detections. If an item is seen at the start but not seen at the end, this can indicate it was successfully removed. If it is still seen at the end, it can be counted as missed.
An advanced AI system is able to identify products and waste items in the video feed. These detections, robot actions, timestamps, location data, and performance results are then shown in the HoloLab portal.
This is a real video from a recycling plant near London where they have HoloLab installed. HoloLab is primarily designed to work in recycling plants, but it can also work anywhere robots, cameras, or sensors are installed: warehouses, factories, stores, industrial sites, or any place where items need to be monitored, picked, moved, or managed.
External cameras and sensors help teams understand the area around each robot, check what the robot is handling, and review the conditions in which tasks are being performed.
Each robot session can create useful information such as task history, status changes, sensor inputs, and performance patterns. This helps teams improve workflows and plan future automation.
HoloLab can work with operator headsets such as Meta Quest devices to support remote robot operation and session capture. Operators can view robot activity, guide actions, and send useful movement or control data back to the HoloLab platform.
This approach can support ALPHA and other connected robots. HoloLab acts as the control layer between the operator, the robot, and the data captured during each session.
HoloLab can capture what an operator sees and does during a robot session. This creates a useful record of human-guided robot activity that can be reviewed, analysed, and reused for improvement.
By combining operator input with robot responses, HoloLab helps teams understand how each task was performed and where robot control can be improved.
HoloLab gives teams a live view of robot status, control actions, battery information, request history, and session results. This helps operators respond quickly and gives managers a clear record of what happened during each robot task.
The platform can process incoming data from connected systems and display it in the HoloLab portal, giving customers one place to manage robot operations, review activity, and make better decisions.
Robot operations need clear visibility. HoloLab helps teams track live robot activity, control actions, camera detections, sensor data, and task results from one portal.
Export HoloLab's data to import it into CRMs, financial systems, etc, create dashboards, and much more. All these tools allow for a level of granularity unheard in the industry until now. This helps teams understand exactly what happened, where it happened, when it happened, and how robot operations can be improved.