Vision App
The Vision App from SNUAILAB can be deployed on the product Autocare Edge to perform inference.
Inference is the process by which a model analyzes images to produce results. Through this, the Vision App is capable of analyzing input videos, such as those from IP cameras and local PC videos.
Autocare Edge is an all-in-one application(App) for end-to-end deployment. This application can connect to field camera, run inference, and drive continuous data collection to learning back to facilitate ongoing learning and improvement.
Related Industry
| App \ Industry | Automotive | Infrastructure | EV Manufactoring | Manufacturing | Safety |
|---|---|---|---|---|---|
People App |
|||||
Vehicle App |
|||||
Fire App |
Support
The list of provided vision apps is as follows:
| App Name | Event | Download |
|---|---|---|
| PeopleApp | People, Falldown, Mask, Helmet |
GPU, CPU |
| FireApp | Fire |
GPU, CPU |
| VehicleApp | Vehicle |
GPU, CPU |
Domains
-
๐งPeople App
It detects human presence, detects falls, and informs about the wearing of safety helmets and masks
-
๐ Vehicle App
Real-time detection and classification of various vehicle types (trucks, buses, cars, etc.), and real-time counting of vehicles passing through specific areas
-
Fire App
Real-time detection of fire and smoke
Recommended Specifications
Please follow the minimum specifications below.
| CPU Spec | GPU Spec | |
|---|---|---|
| Using only CPU | RAM: 12GB or higher | - |
| Using GPU | RAM: 8GB or higher | NVIDIA GeForce RTX 2080 (8GB) or higher |