Work Implemented
Clients approach DNJ Indiego to solve some of their most pressing problems. With our insight and expertise, we were able to solve these problems for our clients in the most efficient way. Each case study touches upon the challenges we faced, the custom solutions we built, their results, and the approach we chose to achieve them.
- Category : Computer Vision
Requirement: The client wanted to identify the live and dead cells from microscopic images.
Solution: DNJ Indiego developed a Computer vision and Deep Learning application that can detect and count the number of live and dead cells from the microscopic image using image segmentation techniques.
Technology: Python, TensorFlow, OpenCV
Recent Portfolio
Parking Space Detection
Computer Vision
Olives Detection from Olive Trees
Computer Vision
Live and Dead Cell Detection
Computer Vision
Predictive Analytics
Data Analytics
Face Mask Detection System
Computer Vision
Object Detection System
Computer Vision
Optical Character Recognition
AI & ML
Travel Chat Bot
NLP
ML based Image Similarity
AI & ML
Optical Character Recognition
AI & ML
ML based Image Similarity
AI & ML
Parking Space Detection
Computer Vision
Olives Detection from Olive Trees
Computer Vision
Live and Dead Cell Detection
Computer Vision
Face Mask Detection System
Computer Vision
Object Detection System
Computer Vision
Predictive Analytics
Data Analytics
