EKYC Solutions Co., Ltd.

EKYC Solutions Co., Ltd. Contact information, map and directions, contact form, opening hours, services, ratings, photos, videos and announcements from EKYC Solutions Co., Ltd., Information Technology Company, #27, Street 271, Sangkat Phsa Derm Thkao, Khan Chamkarmon Phnom Penh, Cambodia 12312, Phnom Penh.

Our eKYC development principles that focus on Maximizing User Experiences, Minimizing Company Costs, and Eliminating Developer’s Frustration allow us to produce an eKYC experience that is pleasant for the user, the company, and the developers.

រីករាយ​ពិធីចូលធ្នាំចិនពី EKYC Solutions. Gong Xi Fa Cai.សូមជូនពរអោយអ្នកទាំងអស់គ្នាជួបតែ សេចក្តីសុខ ចម្រុងចម្រើន គ្រប់ក្រ...
28/01/2025

រីករាយ​ពិធីចូលធ្នាំចិនពី EKYC Solutions.
Gong Xi Fa Cai.

សូមជូនពរអោយអ្នកទាំងអស់គ្នាជួបតែ សេចក្តីសុខ ចម្រុងចម្រើន គ្រប់ក្រុមគ្រូសារ ប្រាថ្នាអ្វីក៍បានសម្រេច.

04/11/2024

Welcome to ML-Mondays, our ongoing series where we share about the AI/ML work we have done here at EKYC.

In the spotlight this week is our upcoming binarizer which will be introduced in the next update of our SDK.

Early on during the development process, our team quickly realized that the bulk of the heavy lifting needed to get good OCR performances is a robust preprocessing pipeline. A key component of that pipeline, is the ability to remove background in an image to isolate the text of interests (binarization). Previously, our team relied on hand-crafted preprocessing techniques. Those steps, while giving us decent performances, could not handle the wide range of lightning conditions and smudges imposed on the scanned documents. Because of this we turned to training a deep neural network to help us overcome those issues. Research surrounding deep learning based binarizer relies on large CNNs to perform segmentation. These models can have more than 35M parameters (~100MB+ in size). This is very expensive to run and goes against our intention to have the binarizer run on mobile devices.

This led us to develop a custom binarizer based on previous research. Our team adopted a mobile friendly architecture with an emphasis on inference speed, and model size. Through various iterations, the team managed to deliver as promised. Our binarizer has just around 2M parameters (~3MB in size). Furthermore, each inference takes less than 500ms. With this, the team is planning to rollout this new binarizer along with a few more awesome features. So stay tuned! 😘🤩

The video below shows the result of our work.

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Contact us to learn more about licensing our SDK.

SDK Available At:
- Flutter: https://github.com/EKYCSolutions/ekyc-id-flutter
- Android: https://github.com/EKYCSolutions/ekyc-id-android
- iOS: https://github.com/EKYCSolutions/ekyc-id-ios
- React Native: https://github.com/EKYCSolutions/ekyc-id-react-native

30/10/2024

សូមណែនាំ EkycID Liveness។ លោកអ្នកអាចបូកបញ្ជូលមុខងារកំណត់ភាពរស់រវើកបុគ្គល ចូលទៅក្នុង apps ឬ websites របស់អ្នកបានយ៉ាងងាយស្រួល។

វីឌេអូនេះបង្ហាញអំពីកូដ Flutter ដែលប្រើប្រាស់ កំណែរទម្រង់ចុងក្រោយរបស់ SDK យើង និង មុខងារកំណត់ភាពរស់រវើកបុគ្គលដែលបានមកពីកូដនោះ។

អ្នកអាចទំនាក់ទំនងមកយើញបានដើម្បីយល់ដឹងអំពីការទិញសិទ្ធប្រើប្រាស់ SDK នេះ។

Introducing our EkycID Liveness. It is easy to bring interactive Liveness check to your apps and websites through the EkycID SDK.

This video shows a simple Flutter code snippet using the latest version of our SDK’s LivenessDetectionView and the left is the capabilties you can achieve with just a fews lines of code.

Contact us to learn more about licensing our SDK.

SDK Available At:
- Flutter: https://github.com/EKYCSolutions/ekyc-id-flutter
- Android: https://github.com/EKYCSolutions/ekyc-id-android
- iOS: https://github.com/EKYCSolutions/ekyc-id-ios
- React Native: https://github.com/EKYCSolutions/ekyc-id-react-native

23/10/2024

EkycID SDK ជាមធ្យោបាយងាយស្រួលក្នុងការបូកបញ្ជូលមុខងារស្កេនទាញយកទិន្នន័យពីឯកសារអត្តសញ្ញាណផ្សេងៗ (អត្តសញ្ញាណប័ណ្ណ លិខិតឆ្លងដែន ។ល។) និង មុខងារកំណត់ភាពរស់រវើកបុគ្គល ចូលទៅក្នុង apps ឬ websites របស់អ្នក។

SDK របស់យើងបានដាក់ដំណើរការចាប់តាំងពីឆ្នាំ ២០១៩។ វីឌេអូនេះបង្ហាញអំពីកូដ Flutter ដែលប្រើប្រាស់ កំណែរទម្រង់ចុងក្រោយរបស់ SDK យើង និង មុខងារស្កេនឯកសារដែលបានមកពីកូដនោះ។

អ្នកអាចទំនាក់ទំនងមកយើញបានដើម្បីយល់ដឹងអំពីការទិញសិទ្ធប្រើប្រាស់ SDK នេះ។

Introducing our EkycID SDK. A quick and easy way to add Document Scanning and Liveness Detection capabilities to your apps and websites.

Since 2019, our SDK has been a provider of a seamless EKYC experience with our real-time detection and feedback. This video shows a simple Flutter code snippet using the latest version of our SDK and the right is the capabilties you can achieve with just a fews lines of code.

Contact us to learn more about licensing our SDK.

SDK Available At:
- Flutter: https://github.com/EKYCSolutions/ekyc-id-flutter
- Android: https://github.com/EKYCSolutions/ekyc-id-android
- iOS: https://github.com/EKYCSolutions/ekyc-id-ios
- React Native: https://github.com/EKYCSolutions/ekyc-id-react-native

យើងរីករាយក្នុងការណែរនាំគម្រោង Open Source ដើម្បីបង្កើតទិន្នន័យ Segmentation Mask។ គម្រោងនេះប្រើប្រាស់ SAM2 របស់ Facebook...
25/09/2024

យើងរីករាយក្នុងការណែរនាំគម្រោង Open Source ដើម្បីបង្កើតទិន្នន័យ Segmentation Mask។ គម្រោងនេះប្រើប្រាស់ SAM2 របស់ Facebook ក្នុងការដៅ Segmentation Mask, Bounding Box, និង មុំបង្វិលឯកសារ។ យើងសង្ឃឹមថាគម្រោងនេះអាចជាជំនួយដល់ការអភិវឌ្ឍន៍/ស្រាវជ្រាវនៅក្នុងផ្នែក Document Segmentation។

We’re happy to share our open-source project for creating document segmentation masks. The project leverages the use of Facebook’s SAM2 model to add boundary masks, bounding boxes, and rotation angles. We hope that this project can aid in the development/research of document segmentation. 🚀🌟🎉

https://github.com/EKYCSolutions/midv-annotate

ទិន្នន័យមួយចំនួនអំពីកម្ពុជាដែលអ្នកអាចយកទៅប្រើប្រាស់បានក្នុងការបង្កើតប្រព័ន្ធប្រាជ្ញាសិប្បនិមិត្ម (AI) បន្ទាប់របស់អ្នក។ ...
13/05/2022

ទិន្នន័យមួយចំនួនអំពីកម្ពុជាដែលអ្នកអាចយកទៅប្រើប្រាស់បានក្នុងការបង្កើតប្រព័ន្ធប្រាជ្ញាសិប្បនិមិត្ម (AI) បន្ទាប់របស់អ្នក។

Want some inspiration for your next AI project? Here are a few useful datasets about Cambodia :D

06/05/2022

ចរាចរណ៍សិប្បនិម្មិត 3D ដោយប្រើប្រាស់ Unity Automotive Real-Time Engine។ ការបង្កើតឡើងមួយនេះជាជំនួយដល់ក្រុមការងារយើងក្នុងការបង្កើតជាទិន្នន័យសិប្បនិម្មិត (Synthetic Data) ដើម្បីយកមកធ្វើតេស្តគុណភាពប្រព័ន្ធ ML របស់យើងសម្រាប់៖ ការស្វែងរកវត្ថុ (Object Detection) និង ការស្វែងរកព្រំដែនរបស់វត្ថុ (Object Segmentation)។

Our second simulation showcases traffic simulation 3D using Unity Automotive Real-Time Engine. It mimics the junction of a traffic intersection. This simulation allows us to customize different traffic scenarios to produce synthetic data for benchmarking our real-time Object Detection & Segmentation ML models.

21/04/2022

ចរាចរណ៍សិប្បនិម្មិតដោយប្រើប្រាស់គំរូអ្នកបើកបរវៃឆ្លាត (Intelligent Driver Model)។ ក្រុមការងារយើងបានបង្កើតចរាចរណ៍សិប្បនិម្មិតនេះឡើងសម្រាប់ជាគ្រឹះរបស់ប្រព័ន្ធចរាចរណ៍ឆ្លាតវៃ (Intelligent Traffic System)។ 🚗 🚦 🤯

Microscopic Traffic Simulation through the Intelligent Driver Model (A variant of the Car-Following Model). Our team implemented this simulation as the basis for Intelligent Traffic System (ITS). Stay Tune!! 🚗 🚦 🤯

អបអរសាទរបុណ្យចូលឆ្នាំថ្មី ប្រពៃណីជាតិខ្មែរ ២០២២។ សូមជូនពរអ្នក​ទាំងអស់គ្នាអោយមានភាពសប្បាយរីករាយនូវឆ្នាំថ្មីខាងមុខនេះ។ 🎉🥳...
14/04/2022

អបអរសាទរបុណ្យចូលឆ្នាំថ្មី ប្រពៃណីជាតិខ្មែរ ២០២២។ សូមជូនពរអ្នក​ទាំងអស់គ្នាអោយមានភាពសប្បាយរីករាយនូវឆ្នាំថ្មីខាងមុខនេះ។ 🎉🥳

Happy Khmer New Year, the year of the Tiger. We wish everyone an exciting year ahead and we look forward to what the year of the Tiger has to offer. 🎉🥳

Address

#27, Street 271, Sangkat Phsa Derm Thkao, Khan Chamkarmon Phnom Penh, Cambodia 12312
Phnom Penh
12000

Telephone

+85593824323

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