V7 Neurons is built to handle any vision output with equal performance, whether it's simple classification, object detection, keypoint skeleton fitting, or all of the above.
Each training session tests hyper-parameters and image augmentation techniques to find the optimal solution to an open-ended problem.
Accuracy doesn't stop at the first training session. Capture more data in production, route it to a dataset for annotation, and add more knowledge to your model for its next training session.
Learn how to create training data ➜
Run models in the cloud on the scale-agnostic NJORD engine, switch on a webcam, and view the results right from your browser. Testing and running neural networks has never been easier.
NJORD is a cloud-based routing system to manage AI model training and inference pipelines for thousands of concurrent requests within V7. Once your models are running, NJORD will monitor their load as users grow. If models are close to their server's capacity, it will spin up a new instance (or back down) to keep them running at any scale.
NJORD also handles the training of V7 models, by allocating GPU resources that match the size of your dataset. As your project grows and relies on more visual data to learn, you won't have to worry about upscaling infrastructure.
Deploy model in the cloud on V7's scale-agnostic inference engine NJORD, or run them on-premise through a docker image at real-time speeds. Run V7 Neurons on powerful NVIDIA T4 servers in your datacenter to serve multiple cameras, or on versatile NVIDIA Jetson modules for low volume or low-power consumption.
V7 is fortunate to be working with partners to bring cognition to the edge at scale with decades of industry experience and world-leading support.
V7's edge deployment is available natively through select partner platforms. Enquire with our team to learn which may best suit your system.
