| 公司名稱 | 亞米加資訊有限公司 | ||
|---|---|---|---|
| Company Name |
Amigosoftware Co. Ltd | ||
| 網址 Website |
https://www.novaface.com.tw/ | 攤位號碼 Booth No. |
Q705 |
| 公司簡介 | 成立於2007年的亞米加資訊，致力於開發行動裝置應用程式與各類 SDK 客製化設計，目前主要開發營運與品牌為金融業壽險要保系統專案開發，自有品牌Pigo多媒體叫號系統&NovaFace人臉辨識系統，亞米加已深耕業界十多年，憑藉著專業技術與熱忱服務，提供客戶各種解決方案，也因此累積許多技術經驗，進而發展自有品牌，希望能夠將技術產品化來服務給廣大企業及消費者。我們也一路秉持著專案開發的精神，從概念發想到資訊系統整合、從程式開發到原始碼移轉維護，並盡心盡力在每個階段都能讓客戶感受到本公司的專業服務。 | ||
| Company Introduction |
Established in 2007, Amigosoftware Co. Ltd is committed to the development of mobile device applications and various SDK customized designs. At present, it mainly develops operations and brands for the financial industry life insurance essential insurance system project development, its own brand Pigo multimedia calling system &NovaFace face recognition system, Amigosoftware Co. Ltd has been deeply involved in the industry for more than ten years, relying on professional technology and dedicated service to provide customers with various solutions, and therefore accumulate a lot of technical experience, and then develop its own brand, hoping to product technology Services to the majority of enterprises and consumers. We also uphold the spirit of project development all the way, from concept development to information system integration, from program development to source code transfer and maintenance, and do our best to let customers feel the company's professional services at every stage. |
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| 產品介紹 | NovaFace人臉辨識系統 1.系統介面：IOS & Android系統操作介面 2.考勤打卡：上下班辨識打卡功能，FTP自動匯出&手動匯出 3.支援txt匯出：支援通用考勤系統格式txt文字檔 4.存臉數量：至少2000張的臉部資料 5.完整辨識時間：約0.25秒 6.辨識正確率：99.6% 7.動態辨識：達到移動狀態下仍可辨識，無需等待 8.照片無用：突破傳統辨識系統無法辨識照片問題，無法使用照片騙過辨識 9.邊緣計算：辨識數據在本地端計算，無需傳輸至雲端分析處理 10.API開放：提供多樣整合串接應用(考勤人資、簽到&POS會員等等) 11.選配方案：藍牙門禁開鎖方案 |
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| Product Summary |
NovaFace face recognition system 1. System interface: IOS & Android system operation interface 2. Attendance check-in: check-in function for identification of get off work attendance, FTP automatic export & manual export 3. Support txt export: support general attendance system format txt text file 4. Number of faces saved: at least 2000 face data |
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