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Use cases

Manufacturing Industry –

– Safety kit detection

– line cross detection

– smoke detection – size

– fire detection – size of fire/ intensity of fire

– Counting of bags loading/ products packaged

counting of boxes unloading

Retail shops –

– customer counter, in and out count, peak time, staff is not  getting counted, average time spent.

– demography detection – customer age segment and male female detection

– customer in group detection – family count

– Shoplifting detection

– customer and staff engagement/Integration detection

– segmentation by brands area or product area for brand and footfall analysis (most visited/least visited/graph)

– visitor counting graphs

– staff activity analysis / they are looking into mobile or engaging with customer.

Banking / Hospital –

– person wait time detection

– occupancy detection

– fall detection

– staff availability at front desk

– customer satisfaction check

Public Safety –

– Terrorist Attacks detection

– Panic situation detection

– fight detection

Tourist Place –

– Tourist counter, in and out count, peak time, average time spent.

– Capacity threshold detection

– demography detection – Tourist age segment and male female detection

– customer in group detection – family count

Highway safety –

– wrong side vehicle detection

– animal detection

– vehicle type and vehicle count (vehicle classification)

– number plate capture with time and vehicle type

Scenarios for Banking Industry

Sccenario 1 (Product 1) – A customer goes to a famous bank in India while his visit he found lot of crowd inside and unmanaged banking services. This converts him into highly dissatisfied customer. On the event of his turn when customer service representative logged in CRM for his account his facial expressions are recorded in the camera  implemented on customer service desk and result of his expressions (which is highly dissatisfied) is sent to CRM and logged.

Scenario 2 (Product 2) – bank wants to know what are the peak times and what is the average number of customer inside the branch in that period. To plan the resources.

Scenario 3 (Product 2) – Robbers attacks the bank, fire arms and panic situation are detected in the camera. Alarm is raised with banking authorities and local police.

Market opportunity

The market for computer vision and sensor solutions in India is burgeoning, with increasing demand from industries such as banking, retail, tourism, manufacturing, and public safety. As organizations prioritize efficiency, safety, and customer satisfaction, Krisensa’s innovative technology aligns perfectly with these market trends. With a focus on delivering tailored solutions to address specific industry needs, Krisensa is poised to capture a significant share of this expanding market.

Our scalable solution

Krisensa’s revenue model revolves around offering software solutions coupled with edge devices, cameras, and sensors. Additionally, we generate income through partnerships with camera and sensor providers. Tailored solutions are available at a charge, ensuring a flexible and scalable approach to meet diverse client requirements. By providing cutting-edge technology and value-added services, Krisensa can establish itself as a sustainable and profitable player in the market.

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