Objective
Advances in camera and sensor technology are unlocking remarkable opportunities for in-store retail customer behaviour analysis, enabling retailers to optimize operations based on rich data insights. Using vision sensors, retailers can track customer flow to determine hot and cold zones, promotion effectiveness and queue speed, and gather demographic data. This is far more effective than methods used by chains such as IKEA, which still counts visitors manually bi-monthly, costing €1600.
The first generation of retail analytics technology is now hitting pain points. Video holds an immense amount of data, and analytics are currently conducted on a remote server, meaning network bandwidth becomes a barrier.
Modcam has developed a cost-efficient technology solution for retail analytics using powerful proprietary vision sensors that can conduct video analytics in the device. This means only statistical information is distributed over the network rather than pixels.
Using Modcam, a retailer can set up a complete customer analytics system for at least 50% lower costs than current solutions.
Modcam is a Swedish-based SME that launched in 2013 by 4 senior technical professionals combining world-class expertise in computer vision and mobile telecoms. It has obtained one patent and two provisional patents for its methods, and has already produced a commercial batch of its compact sensors.
It has four paying customers, and is in advanced negotiations with eleven companies including IKEA and H&M, with potential full-scale roll-out in up to 6816 stores.
Modcam earns revenue by charging a monthly fee of between 200 SEK and 300 SEK per device. It aims to capture 2% of the retail analytics market in 4 countries by 2020, which translates into 26,000 unit sales annually. This will result in revenue of 75M SEK, an EBIT of 17M SEK and 40 employees.
This feasibility study will prepare Modcam to scale up across new European markets.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- engineering and technology mechanical engineering thermodynamic engineering
- social sciences sociology demography
- natural sciences computer and information sciences artificial intelligence computer vision
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
21130 MALMO
Sweden
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.