Automate your applications to recognize, capture and generate insights from images and videos
Some of our computer vision expertise includes
Some of the business use cases of Vision AI services
The imaging system, machine-learning algorithms and trained AI model make a Vision AI-enabled edge equipment. Using such power, manufacturing facilities can automate and enhance critical quality-control processes. Human errors are almost nullified, thus ensuring consistent product quality with more accuracy and precision. Vision AI helps manufacturing facilities to meet the shortage of skilled operational personnel for high-tech processes and reduce rising labor costs. The technology also helps in maintaining a safe and secure industrial environment.
Manual operations, inventory management and locating equipment in the yard, expensive overtime labor, operational costs are some of the greatest challenges in yard management. With Vision AI, any yard can automate their check-in and check-out process. Robust reporting of the assets in a yard helps to maintain solid scheduling of turnaround times of the assets staying in the yard. The spotter in a yard with dynamic task lists and live yard maps knows exactly where and when moves need to be made in the yard – saving hundreds of overtime labor hours per year and drastically reducing trailer cycle times.
Screening a multitude of medical images requires an expert eye to make an accurate diagnosis. The AI model in Vision AI can be trained to analyze any medical image with human-like accuracy. Consequently, patients can get their results early, so the disease’s progression can be halted with the proper treatment. Patients can also get their results within a day, even if they are in a rural location far away without any experienced medical professional to analyze those medical images.
Using existing cameras and CCTV cameras installed in a hospital combined with Vision AI at the edge enables hospitals to detect people without masks in real-time. The solution provides the count via a web application and sends alerts in case people are not wearing a mask. It provides the count of people not maintaining social distancing as well.
For retail stores across the globe, making personalized offers and experiences for a customer is highly challenging. Using Vision AI, any retail outlet can create hyper-personalized experiences by analyzing a customer’s past purchases and reactions to previous campaigns. Considering the demand and what’s on shelves, Vision AI can predict the right orders for new stock. That’s how it makes sure that stores won’t end up with too few or too many items. Besides, Vision AI, using a heat map of the store, helps retailers decide where to place products so customers will notice them.
Thermal image analysis
An infrared camera senses an object or a person in a night vision through thermal infrared radiation or heat. When cameras are stationed around an object of interest, it requires an operator to monitor the feed from cameras for suspicious activity. Not only it is prone to error, but it becomes an intractable task for a single person when the number of cameras increases beyond a certain point. Vision AI-enabled thermal image analysis solves it by removing the need for manual analysis. The technology also allows a user to know about the location and size of an object too.
Optical image analysis
Vision AI-enabled optical image analysis automates the evaluation of the image data or video feed generated by optical image systems. They collect three-dimensional coordinate data from object surfaces. It plays a vital role in automation applications as the system allows a comprehensive and non-contact quality assessment of products and processes. In applications with high safety or quality requirements, Vision AI-enabled optical image analysis is highly useful.
Gas leak detection
Vision AI-enabled gas detection ensures detecting any malfunctioning of pressurized gas and taking prevention before an explosion happens. Such a system sends an activation signal to devices like an exhaust fan, buzzer and sprinkler instantly to prevent incidents from happening. At the same time, the same signal also goes to supervisors. In all, the technology makes the detection process much easier and eases prevention. It also takes refineries to a new level and helps them meet their business requirement with utmost safety.
Liquid leak detection
The biggest problem in refineries or process industries is to identify liquid leaks. Traditionally, there’s no chance that any company can have an accurate view of liquid leak detection across its distribution network. With leaks, some of the challenges are to detect the location where the leak is happening, quantify and qualify leaks, and tank level monitoring. Vision AI sends real-time leak detection alerts. With the immediate actions for repair and other safety, the supply chain also gets aligned automatically. Thus, it ensures maximum uptime.
Computer vision and AR – A perfect blend of innovation
We develop AR with computer vision capabilities to enable tracking in 3D environments, localization, and object detection/recognition.
Our solution helps:
- Industry worker with visual operation guidance
- Marketing and retail for object detection and recognition
- Field technicians with a visual manual for technical equipment and more
Why Choose Us
Softweb Solutions has a vast experience in developing applications using computer vision technology to help their clients’ gain useful insights and improve business decision making. Our team of experts will help you to select the right platform, develop applications, integrate camera and improve process efficiency by embedding with other systems.