Retail, healthcare, manufacturing, security, logistics, banking, and other industries use our computer vision solutions to solve issues.
An application can use this feature to detect whether a person's face is visible in an image or in a video recording. Face detection serves as a foundation for more advanced applications such as personal identification, event detection, and image-based AR software without markers.
Our image analysis software can verify a person's identification by matching a recognised face to a database of known people. This gives up a world of possibilities, from multifactor authentication for high-security apps to identifying criminals in a crowd for CCTV surveillance.
Emotion recognition software detects positive and negative changes in customer satisfaction levels by analysing the faces of customers at a bank or shoppers in a store before and after contact with employees. Innovative use for emotion recognition, and we'll convert your ideas into powerful computer vision applications.
Robotic toys and assistants
We use computer vision techniques to give robots the ability to observe their environment as a computer vision business. .Intelligent assistants frequently have in-built facial and emotion recognition features to identify their owners and react to changes in their moods. We make certain that our robot image analysis software is fitted to client needs.
Industrial robots can replace humans in boring repetitive tasks that require vision, such as assembling and automated quality inspection, because they can "see" the details on an assembly line. Automate your assembly line with machine vision software to greatly increase productivity.
Modern drones equipped with cameras just need to go one step further to become useful assistance in logistics, topography, and defence, and that step is image analysis software's capacity to detect and identify objects.
Video surveillance systems that are smart
You may also improve the security of your physical office with our image analysis software. Real-time video events and anomaly detection keeps security officers on the lookout and alerts them if something strange happens.
Analysis for Medical Image
Actions all throughout the world Computer vision is used in healthcare to help doctors spot abnormal symptoms in both 3D and plain photos and videos as part of computer-aided diagnosis tools. They can serve as trusted assistants, pointing out spots that need attention and thereby reducing human error in radiology.
Computerised Visual Inspection
We provide machine vision consultancy and development, as well as image analysis software, to monitor and control product quality in a variety of industries, including food (bakery, fruits and vegetables, manufacturing, and more).
Detecting flaws in the visible spectrum, including UV, infrared, X-ray, and visible light.
Sorting & Grading
AVI can identify and sort defective items using a customizable grading system in addition to finding them.
(OCR) Optical Character Recognition
Text digitization can be used as a stand-alone feature or as part of a larger application (for example, number plate reading for self-driving cars or real-world text recognition for translator apps).
QR & Barcode Reading
Barcode scanners based on image analysis, unlike their LED and laser-based equivalents, can scan multiple barcodes at once and from a distance, despite variations in look angle and light.
Augmented Reality (AR)
We make virtual reality apps with created image analysis. They use object identification and physics to create realistic mixed-reality experiences by placing digital images onto actual things.
Smart Devices Running on Image Analysis
When image analysis skills are added to the Internet, we get even smarter devices. Image analysis enables Devices to "see" their environment, detecting surfaces and objects and recognising.
To solve image identification problems, our computer vision consultants use both pre-trained models provided by Machine Learning libraries and unique models created and trained by our data scientists.
How we teach software to analyze images
We use deep learning models, such as convolutional neural networks (CNNs), to develop software that can detect the smallest features and patterns that distinguish one object from another. To achieve this, neural networks are trained on huge data sets of images
Our computer vision consultants use both pre-trained models provided by ML libraries and custom models designed and trained by our data scientists to solve particular image recognition challenges of our customers.
Apart from plain images, we work with 3D models and video records.
Image analysis software is rarely self-contained. It is usually integrated with other solutions and applications using APIs that have been carefully designed. We ensure that your computer vision software becomes an important component of your software ecosystem as part of our computer vision consulting services.
- Diagnostic software
Frameworks and libraries
- Core ML
- Cloud Image Recognition SDK
- TensorFlow Lite
Web & Desktop
- Open CV
- Microsoft Cognitive Toolkit
- Mac OS