Computer Vision | Deeper Insights

Deeper Vision solves computer vision problems with AI

AI computer vision systems typically require training on a vast collection of labelled images in order to function effectively. This training process allows the algorithms to learn the characteristics of different objects and scenes, and to develop a model that can be used to recognize and classify them.

After completing the training process, the system can then be utilized for the analysis of new images and videos. The AI algorithms will process the visual data and use the trained model to identify and classify objects and scenes in the images. This analysis can then be used by other systems or applications, such as facial recognition systems or image search engines.

AI computer vision works by using machine learning algorithms to analyse and understand the content of images and videos. It is trained on a large dataset of labelled images, and then uses this knowledge to identify and classify objects and scenes in new images and videos.

After we have built your solution we deploy it securely to the cloud and monitor its performance over time, providing you with the peace of mind of Deeper Insights handling the end-to-end production of your critical business computer vision product

Data Augmentation
In data poor environments we can synthesise datasets automatically, to create enough training data to train a computer vision model

End-to-End Computer Vision Pipeline
We provide complete automation from data ingest to model deployment to model monitoring in the cloud

Train Custom Models
Open source models can be custom trained on the clients data set by one of our AI Data Scientists

Hardware Configuration
Working with our clients on ideal data capture for best performance. Training models specific to the image size/type for optimal performance and reducing inference costs. Experiment with multiple/hardware (in-house and cloud-provided GPUs) addressing customers requirements.

Model Optimization
Downscaling model size to fit business requirements such as running costs, throughput, or hardware limitations

What you get: a trained computer vision model

We deliver your model via Jupyter notebook and python wheel that you can host and run on your own infrastructure 

Or

A managed service where we host and run the trained model, providing ongoing support to monitor the models performance and provide re-training services. In line with EU AI Act regulations.

We detect protected species caught in the nets of The Ocean Cleanup to automatically alert the vessel to slow down or release the catch

On images acquired by drones, we detect light aircraft and helicopters at a distance of up to 1km

Auto-registration of Femur and Tibia for markerless navigation within Smith & Nephew’s Assisted Robotic Surgery system

For a government agency, we identify and track protected animals to ensure the safety and security of the animals across a national footprint

Let us solve your impossible problem

Speak to one of our industry specialists about how Artificial Intelligence can help unlock your environmental data