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About Incubit Vision Services


Incubit Vision Service is an image recognition development service using deep learning provided by Incubit Inc. We'll help you identify and solve problems you face by utilizing your data effectively and providing a customized image recognition solution that fits your unique needs.

Features of development services

High precision recognition using deep learning

At its core, Incubit Vision Services is a deep learning based image recognition model. By being able to perform image recognition tasks with near-human level precision, we are able to accelerate and even automate tasks that previously could only have been performed by specialists.

Custom development based on your needs

Our clients have unique datasets and unique problems that they want to solve. In order to address our client's unique needs, we provide a customized algorithm as well as additional services such as support with gathering the right training data and designing a sustainable process to create the best image recognition model that works for them.

Various implementation options

We are able to adapt to various forms of implementation such as implementation in closed or disconnected networks in factories, to using WEB API calls. In addition, we are able to leverage our existing partnerships with companies specialized in IoT and industrial equipment manufacturing to create a total package solution that includes components such as auto-piloted drones and customized factory automation industrial equipment.

Merits


By automating surveying, inspection, and detection tasks using image analysis through deep learning, working time can be reduced and results can be more uniform and accurate.
Quality varies and mistakes occurUniform and Accurate Results

Processing takes time and has limitationsProcess large amounts of data extremely quickly

Personnel/Inspection costs are highReduce costs by using an algorithm

Development Samples

Wall Crack Detection

Anomaly Detection using Unsupervised Learning


Traffic volume Analysis via Vehicle Recognition

Image Recognition Model to detect Tomatos

Example Use Cases

Infrastructure Maintenance Inspections

Streamline visual infrastructure inspections such as identifying cracks on the roads and walls, pipeline maintenance, and power transmission rust inspection.

Product Quality Assurance

Especially in the manufacturing and food & beverage industry, using AI to identify defects and anomalies has increased. Using unsupervised learning, it has also become possible to create anomaly detection models without the need for large amounts of data in advance.

Microscopic Quality Assurance Inspections

Even when inspecting microscopic image such as cells or metallic surfaces it is possible to accelerate and automate quality assurance with our service.

Non-destructive Inspection Using Specialized Sensors

In addition to images taken with ordinary cameras, it is possible to apply image recognition models to images taken with specialized outputs such as infrared and tomography.

Agricultural Crop Condition Surveying

With deep learning, it is possible to perform quality control and conduct surveys of agricultural crops.

Implementation Methodology

1. Initial Hearing

First, please feel free to contact us via the form below! We’ll get in touch with you to discuss your business needs.

2. Data Review

We review your data and based on it, we’ll propose project feasibility and design. If you don’t have data yet, we’ll support you to design and develop the optimal data acquisition methods.

3. Image Recognition Model Development

Once the contract is signed, we develop the algorithm based on your data. We’ll support you to create a sustainable solution by assisting with collecting and labeling data and creating the algorithm and image recognition model.This stage takes around one to two months.

4. Implementation

Once development is completed, we’ll construct a production ready environment. We respond flexibly based your business requirements, whether you would like to perform WEB API calls or incorporate the model into your existing operations.

5. Maintenance/Tuning

After implementation, based on the data gathered from the image recognition model, we regularly tune the model to improve accuracy.

Contact Us


For inquiries, please also feel free to contact us by email or phone.