Object Detection, Classification & Tracking
Object Detection, Classification & Tracking
Object Detection & Classification Solutions
KritiKal’s object detection and classification solutions are designed from scratch to enable clients in precisely detecting & classifying objects with a higher level of accuracy. We have extensive experience of developing various object detection, recognition/classification and tracking algorithms. Our expertise derives from having worked on projects related to road sign detection and analysis, automatic vehicle number plate reading systems, aircraft detection in aerial/satellite images, face recognition, vehicle make/model detection, surgical instruments detection etc.
Service Offerings
AI-powered Automation to accelerate growth
KritiKal’s fully integrated system helps speed up the development across a wide variety of use cases spanning across different industries like health & Medical, Automotive, EduTech, etc
- Easy camera & Device Connection
- Quality data Creation
- Self-learning Capability
- Deep-Learning based system
- Supports Error Classification
- Flexible deployment options
Community Tools Supported
The Object Detection, Classification & Tracking practice at KritiKal Solutions comprises of experts who have worked on various open source and proprietary tools, some of which are outlined below:
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Object Detection, Recognition / Classification & Tracking
KritiKal has extensive experience of developing various object detection, recognition/classification and tracking algorithms. Our expertise derives from having worked on projects related to road sign detection and analysis, automatic vehicle number plate reading systems, aircraft detection in aerial/satellite images, face recognition, vehicle make/model detection, surgical instruments detection etc.
Features of KritiKal’s Object Detection, Recognition/Classification & Tracking solutions
- Invariance or partial invariance to scale, orientation, affine/perspective distortions and illumination, thus making the detection and recognition process generic and robust to real world scenarios
- Objects to be detected and recognized can vary from simple shapes like straight lines, squares, circles etc. to more complex objects like vehicle number plates, faces, aircrafts, vehicles, buildings etc.
- Detection and recognition in case of partial occlusion
- Simultaneous tracking of multiple moving objects in videos
- Intelligent outlier rejection
- Heuristics to handle custom scenarios and to achieve optimal performance