Quickly identify objects in photos and video with custom software.
Recognize and analyze items in photos and video.
Recognize a face. We can customize recognition software to meet your specific needs.
Count anything. Count and measure any type of object in videos and images, even when they're in motion.
Visual search. Computer vision enables us to develop the specific application you need to search and locate any type of object.
Analyze motions. Measure body parts and the relationships between them.
Add metadata. Recognize the content in video and photos to generate metadata for use in other applications.
Recognize specific objects. Automatically locate and measure the relationships between key points on an object and accurately identify a specific person, animal, or item.
Capture visual information using Computer Vision and Object Recognition technologies.
Find and identify objects in an image or video sequence.
- Identify a SKU from a snapshot using database of relevant photos
- Identify part number from a photo based on known landmarks
- Identify the state of a standardized object
- Automatically identify key points in an object and take measurements
- Identify and track objects in videos for counting and measurement
- Automatically identify and track multiple moving parts
Custom, easy-to-use, Object Recognition software development.
Your Object Recognition software is tailored to meet the needs of your unique use-case. The reason for this is because generic off-the-shelf software is unable to accommodate the vast differences encountered from one project to the next.
The software we develop combines multiple approaches to the challenges of Object Recognition such as algorithms from image processing, pattern recognition, computer vision and machine learning.
With the current technology, we can do a lot, but not everything is feasible.
Before taking on an Object Recognition project, we normally do preliminary assessment work for which we need to have sufficient samples of images and/or videos.
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Which Object Recognition Methods Apply to Your Project?
Traditional Method
This method is appropriate when the object you want to recognize follows readily identifiable patterns, attributes and rules. These characteristics make it easier to distinguish among different types of objects. For example, such attributes can be the size, shape and pattern of the tread on a particular type of car tire.
Machine Learning Method
This method is appropriate when the objects of interest share common characteristics but must be distinguished and a huge number of variations must be taken into account. To use a machine learning solution, a large number of images is required for learning to occur.
Blended Methods
When both methods are needed, a blended approach is best.
Explore the feasibility and cost of your project:
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