From initial prototyping to large-scale deployment, every stage of the edge AI development process is simplified via robust tools all in one place from your local PC or the cloud with Console.
Streamline edge AI operations with Console
Deploy and manage AI models, firmware, and configurations across your network – all from one place. Build and train ML models in the cloud or locally, then seamlessly deploy them to edge devices. Get a clear picture of how your models are performing with built-in data visualization and analysis tools. From building your models to keeping them up-to-date, Console handles the complexities of edge AI deployment without developers and data scientists, so you can focus on what matters: your applications.
Edge Device Deployment
Console simplifies managing edge devices, making it easy to deploy and run edge AI solutions at scale. Teams can add or remove devices, group them for easier organization, and view detailed information like connection status, ID, and deployed AI models. You can also control device actions like starting inference processes, adjusting image quality, rebooting or resetting devices, and preventing accidental resets. Generate QR codes for easy device connection and set up periodic operation to save power. With Console, you can manage your devices remotely, eliminating the need for physical interaction with edge devices.
- Provision and configure edge devices
- Manage edge devices by projects
- Control edge device actions
- Operate and maintain devices remotely
AI Model Lifecycle Management
Console is the principal tool on AITRIOS for managing the entire lifecycle of AI models, from creation and training to deployment and ongoing management. Build new AI models using Console's intuitive AI tools or convert pre-trained models. Monitor your models' performance and data quality with built-in data visualization and analysis tools, identify areas for improvement, and optimize your AI solutions. From model development to retraining, Console helps teams manage AI models throughout their lifecycle.
- Create an AI model
- Train an AI model
- Convert an AI model
- Browse pre-trained AI templates
The AI model looks at the world the way you do. AITRIOS turns your field of view into inference data and Console allows teams to control the inference data coming from the edge device.
Console's data analysis and visualization tools are valuable for understanding AI model performance and data quality. Teams can train and refine AI models using real-world data captured from edge devices, enabling device-specific tuning and improved accuracy. Teams can access and review inference result metadata and images uploaded from edge devices. By monitoring inference results and uploaded images, teams gain valuable insights into model performance and identify areas for optimization.
Console also offers Data Hub (currently in preview) that enables visualization of inference results and images captured by edge devices. This provides a visual representation of the data generated by the AI models, allowing users to easily understand the output and identify trends or patterns.
- Monitor data generated by AI models
- Analyze data generated by AI models
- Visualize data generated by AI models
Flexible Hosting Options
Console runs on your cloud, on our cloud, or locally on your workstation depending on the accessibility to cloud and network infrastructure of your application.
- Local Edition - Develop, test, and validate AI solutions in a secure local network. Local Edition excels in rapid prototyping and building small to medium-sized systems. It's ideal for projects requiring strict data confidentiality, as all information remains on-premises. Use it to perfect your AI models before scaling up or for complete end-to-end local solutions.
- Console Developer Edition - Console Developer Edition, powered by Sony's cloud infrastructure, seamlessly integrates with your existing systems. Manage multiple devices, update AI models, and modify applications—all from a user-friendly browser interface.
- Console Enterprise Edition - Console Enterprise Edition seamlessly integrates with your existing cloud infrastructure, enabling large-scale edge AI deployment. This compatibility ensures smooth implementation and scalability across your organization's systems.
Local Edition
Console Developer Edition
Console Enterprise Edition
- Everything you need for vision AI running on a PC
- Plug-and-play
- Prototype quickly
- No cloud or network required
- Integrated AI service that runs on a PC
- Easy-to-use SaaS with MLOps
- Plug-and-play: no cloud instance configuration, short set-up time
- Integrated AI Service that runs in the cloud
- Supports scaling, large-scale deployment ready
- Host the service on your own cloud
- Data remains under your control
