to enhance safety and improve productivity alongside humans
Collaborative Robots (Cobots) powered by AI to boost human-robot interaction in a common workspace. Our AI-based computer vision solution for Cobots is fully equipped with machine learning algorithms to provide safety, boost flexibility and enhance operational efficiency. Our AI-based machine learning and computer vision algorithms for Cobots are easy to use and re-deploy in a wide range of workspaces and industries allowing for easy handling of goods and equipment to achieve shorter cycle times.
Cobots are designed for direct human-robot interaction in a commonspace or shared area. The combination of cobots with machine learning and computer vision makes mass production possible. The application of machine learning and computer vision cobots enhances the efficiency of business processes such as lifting, handling, machine tending, pick and place applications, packaging and palletizing, etc. Computer vision-equipped cobots are able to perform tasks such as visual examinations and inspections, object sorting, and taking measurements. Machine learning algorithms enable the Cobot to learn from past programming or tasks to determine whether a product meets the quality requirements.
Due to its small size, ability to learn, and easy customization, Cobots powered by machine learning and computer vision have seen an increasing demand in recent years. Machine learning Cobots can be of great assistance during assembly, welding, painting, quality control and inspection, material handling, material tending, and material removal. Machine learning and computer vision for cobots can also be employed to identify, fix, evaluate, and document human faults in the bolt securing processes.
Machine learning and computer vision algorithms for Cobots can be deployed in the agriculture sector to measure and determine product quality. 2D imaging is used to capture important elements such as discrepancies, crop colour, as well as quality categorization of crops and products.
Machine learning and computer vision cobots can be used for the detection and identification of objects, image processing, gesture recognition, 3D modelling, motion capture etc during product assembly. Machine vision technology increases manufacturing throughput by shortening inspection periods. Cameras with high frame rates and real-time processing capabilities significantly mitigate inspection time.
Cobots with machine learning and computer vision algorithms can be used to process large volumes of data during operations. Our AI-based cobot solution can be used to perform real-time audits, thus minimising additional expenses during this process. Cobots with machine learning and computer vision algorithms solutions by supplai can be used to detect discrepancies during operations which otherwise would go undetected with manual or traditional vision solutions. Our AI-based solutions for Cobots can be used to review and evaluate transactional records to predict risks and incidents in the future.
Machine learning and Computer vision cobots have been given a central role in the manufacturing sector. 3D modelling can be generated by employing machine learning and computer vision algorithms to work alongside cobots. Computer vision algorithms are used to guide the appendages (arms) of cobots during operations. Computer vision is also used to gather real-time data from cobots using machine learning algorithms. Cobots with machine learning and computer vision algorithms can be used to continuously monitor equipment and send an alert in the event of an emergency.
Cobots with machine learning and computer vision algorithms can provide real-time data to improve productivity and product quality. Cobots with integrated computer vision algorithms scan products during quality control inspections. Data generated from this inspection is used to classify products based on certain characteristics such as colour, defect, shape, size, etc. Cobots with machine learning and computer vision algorithms can also be deployed for a large-scale count of capsules, tablets, bottles etc., in various locations, all-at-once to provide real-time data and information. This speeds up operations and enhances productivity.