Automate repetitive picking, sorting, and handling on moving lines. Makeen deploys vision-guided robots — powered by Sirona — that identify, pick, and place objects for manufacturing quality inspection and courier sortation across the UAE.
Manufacturing plants with quality inspection, warehouses, and courier hubs still rely on operators to identify, pick, sort, and place products from moving belts — shift after shift.
How do you make a robot reliably pick the right object, at the right time, from a moving conveyor?
That is the brief for every quality line and courier sort belt we walk. Defective parts must be selected, sorted, and binned without stopping the line. Good parts — and the right parcels — must keep moving.
Makeen implements customized vision-guided robotic cells that understand the production environment and dynamically execute picking operations. Computer vision, AI, robotics, and motion planning work as one system.
Cameras continuously observe the belt and detect objects entering the robot’s workspace.
AI perception decides which objects to pick and estimates position, orientation, and quality traits.
The system calculates a safe trajectory from object location, belt speed, robot config, and surroundings.
The robot synchronizes with the moving conveyor and executes the pick at the right moment.
The object is binned or transferred. The cell immediately prepares for the next pick.
Traditional automation struggles when position, orientation, or appearance changes. These cells are designed for real-world variability on factory floors and courier hubs — not a single SKU in a fixture.
Identify products by visual characteristics and separate accepted vs. rejected parts on the inspection line.
Select defective parts from a moving conveyor and place them into reject bins without stopping throughput.
Identify parcels and route each item to the correct lane, cage, or outbound conveyor in delivery hubs.
Pick products from a conveyor and place them into packaging, cartons, or containers.
Identify components and feed them into downstream assembly processes at line rate.
Transfer objects between conveyors, bins, pallets, or workstations across the cell.
For a typical Dubai / UAE operation running two shifts, the economics become material once the cell is on the line. Illustrative example: a conveyor picking job that needs ~2 operators per shift across 2 shifts per day.
| Metric | Manual operation | Robotic operation |
|---|---|---|
| Operators / shift | ~2 | ~0.5–1* |
| Shifts / day | 2 | 2 |
| Labour requirement | ~4 operator-shifts/day | ~1–2 operator-shifts/day |
| Picker salary benchmark | ~AED 2,300–2,500 / month | — |
| Annual labour cost | ~AED 125K–132K | ~AED 31K–66K |
| Potential annual labour savings | — | ~AED 60K–100K |
| Manual hours automated | — | ~6,000–8,000 hrs/year |
*Depends on supervision needs and whether the cell can run unattended. UAE picker salary benchmarks ~AED 2,300/month; loaded cost includes visa, insurance, and end-of-service.
Every factory has different objects, conveyor layouts, cycle times, lighting, and downstream processes. Makeen — with Sirona’s robotics platform — designs the cell around your actual line, not a catalogue SKU.
We select the right robot, camera, and end-effector for the application — not the other way around.
Modern vision and learning-based models for mixed SKUs, orientation changes, and messy belts.
Validate workflows before committing to physical installation on a live production line.
Local install, integration, training, and SLA-backed service. Sirona supplies the platform layer; Makeen runs the deployment.
Manufacturing quality inspection or courier sortation — same core capability: see, decide, pick, bin.