Azure Cognitive services - Spatial analysis. Can we have data set for spatial analysis of people shopping in the shop?

Need data for multiple person shopping in different sections of shop with time-stamp spent in different section of shop .

For eg - A shop with 3 sections Clothes, Shoes, Body perfumes . 3 persons A,B,C standing in different sections. A spending 2min , 3min , 4min in each section respectively and so on .

YutongTie-MSFT 46,986 Reputation points

2023-05-18T19:03:12.3266667+00:00

Hello @

Thanks for reaching out to us, I feel you are asking how to collect the data for your scenario - It is possible to use Azure Cognitive Services for spatial analysis of people shopping in a shop. To do this, you would need to collect data on the location and movement of people within the shop, along with timestamps for each location.

One way to collect this data is to use sensors or cameras placed throughout the shop to track the movement of people. You can then use Azure Cognitive Services, such as Azure IoT Hub and Azure Stream Analytics, to process and analyze this data in real-time.

Once you have collected and processed the data, you can use Azure Cognitive Services, such as Azure Maps and Azure Spatial Analysis, to perform spatial analysis on the data. This can include analyzing the movement patterns of people within the shop, identifying popular sections of the shop, and predicting future trends based on historical data.

I hope this helps.

Regards,

Yutong
Pelapkar, Amruta (Cognizant) 0 Reputation points

2023-05-19T22:57:51.21+00:00

Thanks for this guidance. I am not able to get the access to Spatial service so was thinking, if i can get the format of the file which Spatial service might be giving as output and then that file i can feed to my another service such as image processing etc... So can you suggest something around this issue?
Azar 19,245 Reputation points

2023-07-06T19:59:34.3566667+00:00
If you're unable to directly access the output format of the Azure Spatial Analysis service, you can still work around it by using intermediate steps to extract the relevant information and feed it into other services like image processing

Convert spatial data to a compatible format: Convert the obtained spatial data into a format that can be processed by your image processing service. Common formats for image processing include image files (JPEG, PNG, etc.) or formats compatible with computer vision libraries (such as TensorFlow, PyTorch, etc.). You may need to extract relevant attributes or features from the spatial data and convert them into a suitable image-based representation.

Feed the converted data to the image processing service: Use the converted data as input for your image processing service. Apply your desired image processing techniques, such as object detection, image classification, or other computer vision tasks, based on your requirements.