Monart precisely quantifies the health of any artwork with real-time monitoring and deep-learning historical data analysis.
The art industry only offers expensive systems, principally targeted to museums with the financial resources to purchase them. They also require profesionnal installation and regular maintenance. Galleries, small museums, and private art owners are left with complicated and expensive solutions to monitor their artworks. Monart offers an affordable and low-maintenance solution to museums, gallery owners, and private collectors. Monart collects all characteristics susceptible to age a piece of artwork (fluctuations in temperature and humidity, exposure to light, vibrations, and air quality). Leveraging the large amount of data accross many artworks, Monart predicts accurately the degradation of the artwork using deep-learning data analysis. All of this information is summarized in a comprehensible view using any device.
Each Monart device has a one-to-one association with each artwork, for security and authentication purposes. By collecting data specific to each artwork, each Monart device also acts as relational database for each artwork.
In summary, Monart has the following capabilities:
Monart will be a user-oriented device, and designed to not aesthetically interfere with the artwork. Below are a few examples illustrating the placement of the device relative to the artwork.
We received funding from the Harvey Mudd College Shanahan Project Fund to develop a rough prototype of the Monart device and the dataflow throughout the Spring 2018 semester (January-May). We plan to develop a minimally viable product after graduating college in May 2018. We are seeking funding to create a custom PCB and assemble a larger number of Monart devices for user testing in private collectors, museums, and galleries.