Vision to Perform

Dive Smart Spaces

Dive transforms physical spaces into interactive cognitive environments, where every element and every interaction can be identified and measured to optimize decisions.

Behaviours

Our priority is to understand people’s behavior in order to improve their experiences and their relationship with the environment, bringing to the physical world the interaction capabilities that until now were limited to the digital world.
Retailers, large shopping malls and any public place with a large number of visitors is a suitable place to employ this solution.

Safety

Our purpose is to identify anomalies and dangerous situations, either due to an inadequate use of protective equipment, or because operators are outside a safety perimeter or because there is an inadequate interaction between people and vehicles or other machinery.
Companies in the energy, industry and construction sectors are the main customers for this type of solution, in which near real-time processing is of great importance.

Sustainability

Vision interpreted by artificial intelligence has the ability to monitor large areas objectively and accurately. The use of computer vision systems in the field makes it possible to detect fires, sudden variations in river flows, pollutant emissions, evaluate the state of crops or classify waste for reuse. All these cases have a significant environmental impact.
The organizations targeted by this value proposition are public administrations, industries with a high carbon footprint and large infrastructures.

Ethics by Design

At Dive we think that AI has to play a crucial role to make us more human, to ensure the sustainability of our ecosystems and to guarantee a more efficient use of the resources of our planet. Being that the power of thinking machines encloses also potential misuses like the violation of privacy, the unauthorized use of identificacion, making biased decisions or creating non-explainable algorithms with huge impact or our lives, we consider ethical principles of fairness, transparency, accountability and humanism, as the guidelines to all our services and motivations.

Use Cases

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Understanding in-store behavior

This project plans a field deployment with the following scope:

- Thousands of stores (+2,000)
- Thousands of video cameras(+20.000)
- Use cases (In-store Analytics)

The following business metrics will be extracted from each store

- Store traffic and demographics
- Occupancy and dwell-time by zone
- Cashier and fitting room queue management
- Detailed customer paths
- Repeate visitors

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Intelligent shopping center management

This project plans a field deployment with
the following scope:

- Dozens of sites
- Thousands of video cameras(+6,000)
- Use cases (Customer JourneyAnalytics)

The following business metrics are extracted from each shopping center digitized with Dive technology:

- Mall capacity and traffic
- Visitor demographics
- Dwell times
- Storefront conversion
- Store traffic

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Intelligent train station management

Passenger safety and service quality are the main objectives of the intelligent station management system, which has the following functionalities

- Capacity and traffic at stations and platforms
- Passenger demographics
- Dwell times
- Detection of anomalous behavior and accidents

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Intelligent substation safety management

This project aims to improve safety and reduce risks in complex environments such as electrical substations.

Through the application of artificial vision, the safety of workers performing maintenance operations in electrical substations can be guaranteed.

The safe work area forms a "virtual cube" that operators must not transgress at any time during the operation, nor must the tools they carry with them, except for a safety pole with which they measure the voltages in the substation elements.

The artificial vision algorithm alerts when an operator transgresses the virtual cubes with elements other than those authorized.

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Smart plant eco- efficiency

Development of different proofs of concept to develop eco- efficiency in Airbus plants.

The main use cases addressed are as follows:

- Monitoring of volatile chemical compounds. The objective is to trace the use of products to ensure that the right products are used.
- Waste management monitoring. The objective is to monitor how well operators are managing waste at the workstation.
- 5S chemical cabinet monitoring. The objective is to ensure that the cabinet only contains the products that should be used in the station due to the risk of accumulation of this type of compounds.

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About Us

We are a team of scientists and engineers with the mission of creating thinking machines with the power to perceive reality with a precision far beyond our capacities to help us live in a safer, fairer more sustainable environment.

We are specialists in deep learning and other cognitive technologies who provide our clients with a seamless and sure transition from the most recent breakthroughs in AI to implementations with a direct and measurable impact in their businesses.

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