高速かつ直感的な操作
EVA SDKは、異なるハードウェアプラットフォーム間でのシングルソースAIマシンビジョンプロジェクトの展開をサポートするエッジコンピューティングビジュアル分析ソフトウェアです。EVA SDKはADLINKの最先端AIデバイスに組み込まれ、スマートマニュファクチャリングにおけるエッジAIアプリケーションの開発を加速させます。
10種類以上のカメラプロトコルとフィールドレディのアプリケーションプラグインに対応
TensorRT™、OpenVINO™、ONNX RuntimeのAI推論フレームワークに対応
ローコード／ノーコードGUIでエッジアルビジョンのPoCを簡素化し、AI推論検証を高速に実現
-
-
EVA SDKの特長
EVA RuntimeとEVA IDE（統合開発環境）を含む
直感的なGUIにより、AI推論パイプラインを迅速かつ容易に開発可能
10種類以上のカメラプロトコルをサポートし、統合の手間を軽減
5種類以上の垂直方向向けサンプルコードとテンプレートにより、アプリケーションの迅速な開発が可能（ジオフェンス、摩耗検出、クッキー検査、部品準備、部品組み立て、など）
EVA Portalで利用可能な豊富なアプリケーション対応サンプルとサポート
CarOTAを利用した無線によるモデルアップデート
Dockerコンテナ対応
アプリケーション
Semiconductor factories commonly have restricted areas that require workers to wear protective safety gear when offloading hazardous cargo. In this use case you can see how a NEON smart camera with EVA SDK can monitor personnel for appropriate safety gear and immediately sound an alarm to prevent accidents if personnel enter dangerous areas without protective equipment.
ダウンロードはこちら
Factories commonly have restricted areas to keep workers safe from moving automation or robots. In this use case you will see how a robot working area is designated as a restricted area to prevent people from entering it. If someone enters the restricted area, the region will turn red if the display is set to true, and an alert event will be recorded as metadata for a downstream element to activate.
ダウンロードはこちら
EVA is used for monitoring product assembly based on a standard operating procedure. Each part requires assembly according to a predetermined time with the total assembly time for multiple parts analyzed to dynamically adjust part assembly in real-time. AI-based vision controls monitoring and guides operators to follow the adjusted SOP both through real-time on-site reminders and long-term data analysis.
ダウンロードはこちら
In order to protect personnel in the field who need to access and operate high-voltage equipment, a foolproof safety system is necessary. In this use case, you can learn how EVA uses AI vision to immediately detect whether an operator is wearing the correct safety equipment, avoiding personal injury.
High-precision semiconductor factories use air showers to remove surface-deposited particles from personnel prior to them entering a cleanroom, but workers failing to follow proper cleanroom procedures can put products at risk. Using AI to detect whether an employee's behavior complies with SOP can reduce the amount of dust by 80% and improve production quality.
オールインワンのエッジAIビジョン・プラットフォームのメリットを活用
EVA対応AIモデル:
-
Network Original framework AI model type GoogLeNet Caffe/ONNX Classification ResNet18 Nvidia TLT ResNet ONNX SqueezeNet VGG MobilenetV2 AlexNet CaffeNet RCNN_ILSVRC13 DenseNet-121 Inception_V1/V2 ZFNet-512 ShuffleNet_V1/V2 -
Network Original framework AI model type SSD Inception-V2 Tensorflow Object Detection Face detection(SSD based) Caffe Yolov3 Darknet/ONNX Yolov4 Darknet/ONNX Yolov3-tiny Darknet DetectNet_v2-ResNet18/34 Nvidia TLT OpenPose PyTorch Pose Estimation FCN-Alexnet Caffe Segmentation Intel Segmentation Caffe
パートナー企業
- AI System Integrator
-
- AI Software
-
- OTA Service Partner
-
- Cloud Service
-
リソース
EVA Portal Get EVA SDK documents, technical support and sample code here 
EVA hands-on webinar Learn the complete process from image capture and pre-processing, AI inferencing to connectivity in EVA IDE 
AI Safety Use Case ADLINK AI Machine Vision Solution Efficiently Assists Manufacturers in Monitoring Site Safety 
AI Safety Use Case AI Enhances Safety for Cargo Tank Hazmat Offload at Semiconductor Factory お問い合わせはこちら：
aivision.expert@adlinktech.com