Australia

Elenium Y-Type
| Features | |
|---|---|
| Accessibility | |
| Agent-Assisted Processing (Hybrid) Support | |
| Auto size detection | |
| Auto weight detection | |
| Automatic conveyability (shape) check | |
| Brandable | |
| Double Units Available | |
| Emergency Stop | |
| Intrusion Detection | |
| Oversize Baggage Detection | |
| Status Indicator LEDs | |
| Tub Detection | |
| Variable Speed Drives for Conveyors | |
| Application | |
| CUPPS | |
| CUSS | |
| CUTE | |
| CUWS | |
| PC | |
| CPU | Intel Core |
| O.S. | Windows 7 or 10 |
| RAM | 8GB Memory |
| Screen | |
| Power | |
| AC | |
| Battery | |
| Scanning method | |
| BLE Reader | |
| Barcode reader | |
| E-Ticket reader | |
| Hand Scanner | |
| Passport, ID, VISA scanning | |
| RFID reader | |
| ePassport/RFID option | |
| Printer | |
| Bag tag printer | |
| Boarding pass printer | |
| Receipt Printer | |
| Camera | |
| Baggage Camera | |
| Webcam | |
| Payment Options | |
| Card reader | |
| Cash acceptor | |
| EMV | |
| Excess Baggage Payment | |
| NFC Reader | |
| PCI-PTS Payment Device | |
| Biometric | |
| Facial | |
| Finger | |
| IRIS | |
| Connenction | |
| Value | Wi Fi & Ethernet | Cellular Data Network |
Elenium Y-Type Self Bag Drop
How We Achieve Higher Accuracy at Faster Speeds
The Elenium Bag Tag recognition system operates up to 97% success rate (independently proven). It achieves this impressive performance by using cameras that zoom and focus to find the bag tag barcode in milliseconds irrespective of the bag’s placement. Elenium’s technically advanced approach generates superior outcomes to competing systems which can only read bag tags in a two dimensional line of sight.
Competing systems field of view Elenium camera systems field of view
Elenium’s Technology Advances
Our R&D team has been able to improve our technology by removing the need for any moving parts. Rather than requiring a physical gimbal to point and tilt the camera sensor, we have developed a miniature, high resolution, wide angle camera that allows us to achieve even better recognition rates.
To manage the high resolution cameras and still process the visual data in real-time, each camera streams directly into a small form factor embedded graphic processing unit (GPU). This allows the system to detect the location of
a bag tag in real-time. With our sophisticated computer vision algorithms the system is able to crop out the area of interest and decode the barcode in 70 milliseconds, processing over 60 megapixels in that time.The performance improvement of our breakthrough development also allows us to scan bag tags on a moving conveyor belt, opening up new applications like inbound bag tag scanning.
Y-Type Bag Drop Solution
Y-Type bag drop solution vides a low complexity path to upgrading existing check-in infrastructure, thereby increasing the productivity of airport assets.
Y-Type bag drop solution vides a low complexity path to upgrading existing check-in infrastructure, thereby increasing the productivity of airport assets. The R-Type Retrofit is a hybrid unit that can be used both as a self-service and agent-assisted solution. It also offers as standard; instruction detection, tub detection, dimensioning and optional reuse of existing conveyer belts.
Advanced camera-based dimensioning technology measures the size and shape of the bag prior to injection, which means that the bag is scanned in situ before it is moved to the next belt. This removes the need for reversable conveyor belts which may not be available on existing infrastructure.
Benefits
CUSS
Certified for IATA CUSS 1.3, 1.4 and 1.5.
Simple & Affordable
Simple, cost conscious design, makes this bag drop a viable solution for any airport.
Passenger Controlled
Passenger controlled device that enables full self-service.
Quick Deployed
Low complexity device enables fast deployment.
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