Summary
TERRORIST THREAT has increased in Europe and worldwide since Paris attacks in 2016. High density crowded places, such as critical infrastructures and public open areas, are being particularly targeted by those who instill terror. Both public and private sectors need next generation face recognition systems able to cover such large, crowded and unconstrained environments, and to massively process faces with high performance; altogether with the detection abnormal crowd behaviors such as mass panic, stampedes or bottlenecks.
However, computational requirements and highly-priced hardware are hampering these deployments. Also the analysis of faces and crowds arises increasing concerns about privacy, and it is necessary to ensure compliance with the EU General Data Protection Regulation (GDPR) and other local regulations. We will bring an easy-to-install and user-friendly solution, covering cybersecurity needs and market replication.
The AWARE PROJECT provides a disruptive solution to solve major pains: (1) First solution able to analyze crowd behavior. (2) Use of an edge computing architecture and Deep Neural Network accelerators to achieve outstanding processing speed and cost-efficiency. (3) Ensuring data privacy and GDPR accomplishment.
AWARE is at TRL6, while HERTA is well-positioned worldwide as one of the few face recognition providers in crowded and unconstrained environments.
The global face recognition MARKET is becoming very competitive, and expected to increase to USD 7,76 Billion by 2022 at a CAGR of 13,8%,
The team involved in the project has over 25 years of experience in the innovation and commercialization of biometrics.
COMPETITORS: FaceFirst (USA) and NEC (Japan) solutions are slower and do not provide: crowd behavior analysis, secure databases, hardware scalability and integrated with any type of camera.
ACCUMULATED ADDITIONAL REVENUES OF 143 M€ and accumulated additional Profit of 67,9 M€ by the 3rd year; creating 30 new high-quality employments.
However, computational requirements and highly-priced hardware are hampering these deployments. Also the analysis of faces and crowds arises increasing concerns about privacy, and it is necessary to ensure compliance with the EU General Data Protection Regulation (GDPR) and other local regulations. We will bring an easy-to-install and user-friendly solution, covering cybersecurity needs and market replication.
The AWARE PROJECT provides a disruptive solution to solve major pains: (1) First solution able to analyze crowd behavior. (2) Use of an edge computing architecture and Deep Neural Network accelerators to achieve outstanding processing speed and cost-efficiency. (3) Ensuring data privacy and GDPR accomplishment.
AWARE is at TRL6, while HERTA is well-positioned worldwide as one of the few face recognition providers in crowded and unconstrained environments.
The global face recognition MARKET is becoming very competitive, and expected to increase to USD 7,76 Billion by 2022 at a CAGR of 13,8%,
The team involved in the project has over 25 years of experience in the innovation and commercialization of biometrics.
COMPETITORS: FaceFirst (USA) and NEC (Japan) solutions are slower and do not provide: crowd behavior analysis, secure databases, hardware scalability and integrated with any type of camera.
ACCUMULATED ADDITIONAL REVENUES OF 143 M€ and accumulated additional Profit of 67,9 M€ by the 3rd year; creating 30 new high-quality employments.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/876945 |
| Start date: | 01-09-2019 |
| End date: | 29-02-2020 |
| Total budget - Public funding: | 71 429,00 Euro - 50 000,00 Euro |
Cordis data
Original description
TERRORIST THREAT has increased in Europe and worldwide since Paris attacks in 2016. High density crowded places, such as critical infrastructures and public open areas, are being particularly targeted by those who instill terror. Both public and private sectors need next generation face recognition systems able to cover such large, crowded and unconstrained environments, and to massively process faces with high performance; altogether with the detection abnormal crowd behaviors such as mass panic, stampedes or bottlenecks.However, computational requirements and highly-priced hardware are hampering these deployments. Also the analysis of faces and crowds arises increasing concerns about privacy, and it is necessary to ensure compliance with the EU General Data Protection Regulation (GDPR) and other local regulations. We will bring an easy-to-install and user-friendly solution, covering cybersecurity needs and market replication.
The AWARE PROJECT provides a disruptive solution to solve major pains: (1) First solution able to analyze crowd behavior. (2) Use of an edge computing architecture and Deep Neural Network accelerators to achieve outstanding processing speed and cost-efficiency. (3) Ensuring data privacy and GDPR accomplishment.
AWARE is at TRL6, while HERTA is well-positioned worldwide as one of the few face recognition providers in crowded and unconstrained environments.
The global face recognition MARKET is becoming very competitive, and expected to increase to USD 7,76 Billion by 2022 at a CAGR of 13,8%,
The team involved in the project has over 25 years of experience in the innovation and commercialization of biometrics.
COMPETITORS: FaceFirst (USA) and NEC (Japan) solutions are slower and do not provide: crowd behavior analysis, secure databases, hardware scalability and integrated with any type of camera.
ACCUMULATED ADDITIONAL REVENUES OF 143 M€ and accumulated additional Profit of 67,9 M€ by the 3rd year; creating 30 new high-quality employments.
Status
CLOSEDCall topic
EIC-SMEInst-2018-2020Update Date
27-10-2022
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