Different industries use the same CV techniques and their combinations to solve different use-cases
We research, design & build AI technologies to help our clients solve real-world problems using data
Complete computer vision workflows facilitate dataset labelling, model training, and production deployments to reveal valuable insights within your visual data. Our Bayesian Inference based method brings 3-5x more data labelling speed. Every model trained with SEE MORE is explainable with the XAI component – allowing you to see why the model is working in a certain way.
Different industries use the same CV techniques and their combinations to solve different use-cases
The agricultural industry has witnessed several contributions of computer vision AI models in areas such as planting, harvesting, advanced analysis of weather conditions, weeding and plant health detection and monitoring.
Livestock health monitoring
Understand the health of individual animals and livestock populations with continuous visual data-driven insights. Predict and intervene with early detection and accurate response.
In construction, computer vision is increasingly used for safety management, quality inspections, productivity monitoring, and navigation of unmanned ground and aerial vehicles.
Worker productivity optimisation
Many applications to enhance productivity are possible by curating visual data across the site. Knowledge can be continually obtained to confirm or correct worker-task assignments, monitor performance tracking, and understand reasons for delays.
Pharmaceutical companies oversee supply tracing and manufacturer data with all their products. Computer vision solutions can improve to identify that information and deliver it across networks during many steps of the shipping process.
Medical imaging is at a tipping point for technological transformation. There has been a massive increase in demand for cross-sectional imaging (CT and MRI).
Computer vision can exploit texture, shape, contour, prior knowledge, and contextual information from image sequences and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, and reconstruction to bring much needed quantitative information not readily available by trained human specialists.
Computer vision in retail is used to improve geofencing, allowing shoppers to recognize particular customers when they enter the store and send them discounts. Moreover, they can also get recommendations on what items to purchase based on their previous purchase history.
Customer engagement/behavior/safety, space utilization, inventory & service management
Retail heat maps can help understand the functionality of the stores and identify customer behaviour in them. it leverages real-time imaging to detect movements and allocate colours related to traffic volume to each floor area.
