Question 1

What is the difference between image recognition and object detection?

Accepted Answer

Image recognition identifies the overall category of an image (e.g., 'car'). Object detection identifies individual items in an image and provides their exact locations using coordinate bounding boxes.

Question 2

How much labeled data do we need to train a model?

Accepted Answer

For simple object detection, we usually need 500 to 1,000 labeled images per category. For highly complex inspections, we utilize transfer learning to achieve high accuracy with smaller datasets.

Question 3

Can image recognition run locally on-premise?

Accepted Answer

Yes, we can deploy models on local servers with NVIDIA GPUs or on compact edge hardware like NVIDIA Jetson devices to run offline without internet connectivity.

Question 4

How accurate can the system get?

Accepted Answer

Under consistent lighting and camera angles, our custom-trained models routinely achieve over 95% classification and detection accuracy, exceeding typical human inspection rates.

Question 5

How long does it take to train and deploy a model?

Accepted Answer

A standard project with custom training and system integration takes 6 to 10 weeks, depending on data availability and the complexity of target categories.

Question 6

Can the system read text from images?

Accepted Answer

Yes, we integrate OCR technology alongside image recognition to locate, read, and extract text from labels, signs, invoices, and documents automatically.

Question 7

Do you support video stream analysis?

Accepted Answer

Yes, we build video analytics pipelines using OpenCV and deep learning models that process real-time RTSP camera streams at 30+ frames per second.

Question 8

How do you handle changes in visual items over time?

Accepted Answer

We build continuous learning pipelines. If a new product variant is introduced, we add a small batch of images to the dataset and retrain the model.

How can we help?

Image Recognition
FAQ

Helpful
information

Getting Started

Timeline

Pricing

Support

Still have questions?

Image RecognitionFAQ

Helpfulinformation