Counting elements in a zone
The ECS is a UNIQUE element counting solution that automatically differentiates between the elements detected by its on-board AI, enabling specific elements to be counted with great reliability.
ECST, a certified industrial box with on-board AI, fully autonomous for counting various elements in a space
Yumain's ECS solution represents an innovative response to a number of problems associated with counting various elements in transport. Compact and easy to install, this camera with on-board AI is able to differentiate between elements passing in front of it, and to count the desired ones. The video stream is analyzed locally, and only the counting data is sent automatically, thus avoiding any data protection issues.
Robust AI for reliable, adaptive counting
The ECS, with its on-board AI, is an essential support for operators in the urban sector, enabling them to automatically and efficiently carry out targeted counting thanks to the use of AI. This AI, following the training of neural networks over a long period representing all the seasons in particular, enables highly reliable results, even with the variations that the various elements to be counted may undergo. What's more, the work carried out so far has focused on strollers and wheelchairs, but the AI, with some learning, can count many other items, such as scooters or bicycles.
On-board counting to comply with RGPD
The ECS, with its on-board AI, is a major asset for urban operators. It centralizes all video streams from bus and streetcar door cameras for real-time analysis and counting. And because the video stream is processed entirely locally, there is no personal data recording, only the count file, updated in real time. All of these provisions thus resolve any data regulation issues, particularly in terms of RGPD, since the video streams are analyzed and then directly destroyed, all in the ECS box directly.
ECS, with the AI embedded in its sensor, brings a wealth of benefits
Compact, self-contained product with quick and easy commissioning
Fits directly into vehicle interiors, without disturbing users
A solution that respects users' privacy and complies with RGPD standards
High reliability thanks to robust AI.
Device image
ECST dimensions
Robust, certified IA enclosure
Find out more about this innovative solution
Number of relays | 2 |
| Relay type | Solid state relay |
| Maximum switching voltage | 60 V |
Dielectric strength between input/output |
1000 MΩ @ 500VDC
|
Contact resistance |
0.7 Ω
|
Typical priming time | 1.3 ms |
| Max. priming time | 5 ms |
Typical fall-out time | 0.1 ms |
Max. drop-off time | 0.5 ms |
Courant de charge continue | 1.1 A |
Number of entries | 2 |
| Input voltage | 12 - 48 VDC, non-polarized |
| Input resistance |
1 μs
|
Dielectric strength between input/output | 10^14 Ω |
Voltage |
12 -24 VDC
|
| Typical consumption |
5W à 10W
|
| Max. consumption peaks | 15W |
Power connector |
M12 – 4 positions
|
| Terminal block cable sector |
M12 - coding X |
| Input/output connector |
M12 – 8 positions
|
Weight |
<1Kg
|
Dimensions |
114mm x 150 mm (excluding connectors) |
Disclaimer | Due to the evolution of standards and equipment, the characteristics indicated in the texts on this site are only binding after confirmation by our services. |
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Certificates and instructions for use are available on request. To do so, go to the contact page by clicking on here.
Example of internal image analysis operation
OUR SOLUTION WINS THE ON-BOARD TROPHY
On January 19, 2021, the E.C.S. Product with its pantograph detection and analysis application won us the Embedded Trophy in the Industry & Services IoT category.
This award was presented to us by CEA-List, a partner who has been with us since the beginning and recognizes Yumain's skills in embedded AI.
