OpticVyu AI For Custom Object Detection & Image Processing

OpticVyu provides an end-to-end artificial intelligence-based solution for data collection using HD cameras, custom object labeling, computer vision based training, and object detection that suits any project environment.

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What Is Image Processing & Training?

Data Collection

The first and foremost step is to collect relevant image data to develop accurate artificially intelligent solutions.

Labeling

Labeling is the process of identifying and manually marking the intended objects like car, bus, person, etc visible in the images.

Training

Training is the process of creating AI models with labelled datasets. The bigger and more accurate the data set, the better the training will be.

Auto Object Detection

Finally, after repeated training, the trained model can auto-detect the target objects.

OpticVyu Custom Object Detection Process

OpticVyu's artificial intelligence-based image processing solution helps you collect the raw image data, allows labelling on the web dashboard, trains the model for your custom dataset, and detects the custom objects. Here is the complete process explained with the use-case of detecting construction workers and equipment:

Start Collecting the Image Data
01

Install OpticVyu HD Cameras & Start Collecting the Image Data

The first step is to install an OpticVyu HD camera at your job site. The OpticVyu team will help in identifying the perfect camera installation location. After successful installation, the camera will start to capture and send the images directly to the cloud-based dashboard. Here, image data will be stored for labelling and training.

Start Labeling
02

Start Labeling

Once the collected image data is sufficient for training, the OpticVyu team will label or annotate the images containing the target objects. For example, in construction images, the OpticVyu team labels the workers, excavators, telehandlers, cranes, trucks, etc (as shown in the image). The labeling process continues until the dataset is considerable enough for the training. The labeled images can be checked anytime through the OpticVyu web based dashboard.

Training Of The Dataset
03

Training Of The Dataset

As the labelling dataset grows, the OpticVyu team repeatedly performs the computer vision training using its High-end NVIDIA Tesla GPUs based dedicated cloud server instances. The training process continues until the custom object detection accuracy reaches more than 75%. The resulting "artificial intelligence model" is a Masterpiece AI Model for the organisation that will be able to automatically recognise the target objects in any new image file.

Auto-detect Custom Objects
04

Install Cameras To Other Jobsites And Auto-detect Custom Objects

The Masterpiece AI Model is now ready to detect the custom objects on your project sites. Now install the OpticVyu HD cameras wherever you want to detect the custom objects. Our team will help you with the camera installation and setting up the AI detection.

Auto-detect Custom Objects
05

Visualize the Data & Generate Reports

The OpticVyu dashboard features graphical representations to visualize the custom object detection data for reconciling past data and making future decisions. Also, you will be able to generate custom reports for the custom object detection data.

OpticVyu Transforming Industries Through AI Computer Vision

Explore whether your industry can utilize OpticVyu AI to automate tasks through image processing.

ai in agriculture

Agriculture

ai in Automobile

Automobile

ai in Construction

Construction

ai in Energy

Energy

ai in Food & Beverage

Food & Beverage

ai in Government

Government

ai in Healthcare

Healthcare

ai in Railway

Railway

ai in Life Sciences & Biotech

Life Sciences & Biotech

ai in Logistics

Logistics

ai in manufacturing

Manufacturing

ai in marine

Marine

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