90%
improvement in detecting defects in manufacturing by using AI and Computer Vision
Computer Vision
1. Image acquisition
Large sets of images can be acquired through video, photos, or 3D technology in real-time and be analyzed.
3. Deep learning
The deep learning model performs object detection, image segmentation, and classification on every image or video frame.
2. Pre-processing
Pre-processing includes noise reduction, contrast enhancement, rescaling, or image cropping.
4. Automation logic
Automation that comes from information received from the computer vision task.
Computer Vision
1. Image acquisition
Large sets of images can be acquired through video, photos, or 3D technology in real-time and be analyzed.
2. Pre-processing
Pre-processing includes noise reduction, contrast enhancement, rescaling, or image cropping.
3. Deep learning
The deep learning model performs object detection, image segmentation, and classification on every image or video frame.
4. Automation logic
Automation that comes from information received from the computer vision task.
Our Capabilities
Technology
- Deep Neural Networks (DNN)
- Convolutional Neural Networks (CNN)
- Transfer Learning (TL)
- Auto Encoders
Single-stage algorithms:
- SSD, RetinaNet, YOLO, and YOLOR
Multi-stage algorithms:
- Mask-RCNN, Fast-RCNN
Applications
- Detection and Classification
- Object Size Calculation
- Identity Management
- Traffic Management
- Security Management
- Remote Sensing and Spectral Analysis
- Aerial Image Processing
- Medical Image Processing
Our Technology
Insights from our experts
Chatbot for Food Service Fulfillment
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
Let's Turn Your Big Issue into a Bright Idea
Whatever your challenge, we would love to talk to you about it.
