MyThreatDetection is an auto-classification and detection software to detect unwanted, suspicious or high-interest (TAX) items on cargo by training a deep learning model on thousands of cargo images using state-of-the-art deep learning architecture such as YOLO and SSD.
| Specification | Description |
|---|---|
| Operating System | Windows 10 64 bit |
| CPU | Intel or AMD processor 3.2 GHz or faster with 64-bit support |
| Memory | 8 GB or larger |
| Storage Space | 800 Mb of free space required |
| Network Connection | Required |
| Other Requirement | .Net Framework 4.5.2 or newer |
| Performance | Description |
|---|---|
| Processing Time(Average) | 2.5 seconds |
| Detection Model | YOLO/ SSD |
| Classification Model | VGG/ Resnet |
| Accuracy(Average) | 85% |