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TWS Exec Summary (2)

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Avraham Yoffe
Avraham Yoffe

The document describes TheWhollySee, a startup that has developed a solution using passive photonic tags and cameras to remotely identify and characterize tagged objects and people from a single pixel with high accuracy. The tags encode identifying information in their spectral properties and can also sense temperature and humidity. This allows for contactless identification of multiple objects within a single image. The company seeks funding to develop a technology demonstrator and plans to partner with customers in markets like asset management, inventory, and logistics tracking.

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0.4 息 2015TheWhollySee Haifa, Israel www.thewhollysee.com Remote identification & characterization of objects & people from a single pixel Dr Dan Yanson - CEO - linkedin.com/in/dyanson dan.yanson@gmail.com (+972) 52 750 4961 18 years R&D experience in photonics,lasers,and optoelectronics.Planned and managed both technology and product development projects for commercial, defence and space customers in the UK and Israel. Also contracted as an external expert for project review / evaluation by the EC in Brussels. Vlad Rinsky - Engineer / Researcher Lab work, optics, experiments. Avraham Yoffe - COO - linkedin.com/in/avyoffe avraham.yoffe@gmail.com (+972) 50 977 0231 Guru in video analysis, compression, streaming, and hardware interface. Having worked at both Intel and Cisco, Avraham has first-hand experience of low-level, real-time programming, optimization algorithms and large-scale software integration. Dan Viazovsky - Engineer / Integrator Electronics, camera & image acquisition. Assettracking & management Personnel ID & Security Problem Machine & computer vision must identify, characterize, and interpret objects and subjects.While QR/barcodes, and RFID tags provide excellent low-cost ID solutions for the operating range up to about 2-3 metres, no reliable solution exists for remote ID (> 3m away) with high location accuracy. Image recognition provides excellent location information with line-of-sight visibility. But it requires that objects be in sharp focus while offering very limited ID precision. Conversely, radio-based solutions for remote ID like active RFID, ZigBee, WiFi, beacons,transponders,and RTLS tags provide excellent ID precision but poorlocation accuracy (no directional information). Furthermore, they are high cost, require a battery, and may cause RF interference. Solution (patent pending) Our solution enables real-time, line-of-sight, contactless recognition and characterization of tagged objects and subjects including their identity, position, orientation, temperature, and humidity. Our core technology lies in passive and low-cost photonic-engineered tagging media that encode information in their spectral properties. Our product includes a set of tags for ID and/orsensing,custom cameras to decode them, and software to extract and analyse the tag data. Competitive Advantage Our technology differentiates us from optical and radio solutions: Near focus-free, line-of-sight operation Minimum 1 pixel to identify an object or subject Multiple objects identified and characterized within one image High-speed real-time processing Market Opportunity We offer a disruptive technology platform for several markets, especially asset management, inventory,and logistics (global TAM $19bn by 2020). Our customers include warehouses,order fulfilment centres,inventory holding centres, and sorting / distribution centres. Opportunities in security, surveillance, personnel ID, sports analytics, and advertising sectors are also multi-$bn. Business Model We perform the integration of both the hardware (tags & cameras) and software (data analytics & API) components to deliver B2B solutions to customer applications. We will form a strategic partnership to develop a complete systemaround a specific customer application. Our technology is particularly suitable for Internet of Things applications, where data and analytics can be offered as a service. Investment scope Seeking $2m in seed funding to deliver a technology demonstrator against a 2-year workplan. Approved for entry into an accelerator program (Technion Technology Transfer in Haifa, Israel), with a $100k funding offer. Highlight itemsfor delivery to: Haifa, Israel BA166 BA166 BA166AF1321 PC John Smith Tap to see access rights PC Mary Blood Tap to see access rights PC Jay Walker Permit expired Tap to see access rights TheWhollySee Imaging that makes sense
0.4 息 2015TheWhollySee Haifa, Israel www.thewhollysee.com Passive optical tags provide sensitivity to storage conditions Same camera(s) perform simultaneous remote monitoring of various sensor tags at multiple locations Limited shelf life storage Dry storage Cold storage DEFROSTED!

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TWS Exec Summary (2)

  • 1. 0.4 息 2015TheWhollySee Haifa, Israel www.thewhollysee.com Remote identification & characterization of objects & people from a single pixel Dr Dan Yanson - CEO - linkedin.com/in/dyanson dan.yanson@gmail.com (+972) 52 750 4961 18 years R&D experience in photonics,lasers,and optoelectronics.Planned and managed both technology and product development projects for commercial, defence and space customers in the UK and Israel. Also contracted as an external expert for project review / evaluation by the EC in Brussels. Vlad Rinsky - Engineer / Researcher Lab work, optics, experiments. Avraham Yoffe - COO - linkedin.com/in/avyoffe avraham.yoffe@gmail.com (+972) 50 977 0231 Guru in video analysis, compression, streaming, and hardware interface. Having worked at both Intel and Cisco, Avraham has first-hand experience of low-level, real-time programming, optimization algorithms and large-scale software integration. Dan Viazovsky - Engineer / Integrator Electronics, camera & image acquisition. Assettracking & management Personnel ID & Security Problem Machine & computer vision must identify, characterize, and interpret objects and subjects.While QR/barcodes, and RFID tags provide excellent low-cost ID solutions for the operating range up to about 2-3 metres, no reliable solution exists for remote ID (> 3m away) with high location accuracy. Image recognition provides excellent location information with line-of-sight visibility. But it requires that objects be in sharp focus while offering very limited ID precision. Conversely, radio-based solutions for remote ID like active RFID, ZigBee, WiFi, beacons,transponders,and RTLS tags provide excellent ID precision but poorlocation accuracy (no directional information). Furthermore, they are high cost, require a battery, and may cause RF interference. Solution (patent pending) Our solution enables real-time, line-of-sight, contactless recognition and characterization of tagged objects and subjects including their identity, position, orientation, temperature, and humidity. Our core technology lies in passive and low-cost photonic-engineered tagging media that encode information in their spectral properties. Our product includes a set of tags for ID and/orsensing,custom cameras to decode them, and software to extract and analyse the tag data. Competitive Advantage Our technology differentiates us from optical and radio solutions: Near focus-free, line-of-sight operation Minimum 1 pixel to identify an object or subject Multiple objects identified and characterized within one image High-speed real-time processing Market Opportunity We offer a disruptive technology platform for several markets, especially asset management, inventory,and logistics (global TAM $19bn by 2020). Our customers include warehouses,order fulfilment centres,inventory holding centres, and sorting / distribution centres. Opportunities in security, surveillance, personnel ID, sports analytics, and advertising sectors are also multi-$bn. Business Model We perform the integration of both the hardware (tags & cameras) and software (data analytics & API) components to deliver B2B solutions to customer applications. We will form a strategic partnership to develop a complete systemaround a specific customer application. Our technology is particularly suitable for Internet of Things applications, where data and analytics can be offered as a service. Investment scope Seeking $2m in seed funding to deliver a technology demonstrator against a 2-year workplan. Approved for entry into an accelerator program (Technion Technology Transfer in Haifa, Israel), with a $100k funding offer. Highlight itemsfor delivery to: Haifa, Israel BA166 BA166 BA166AF1321 PC John Smith Tap to see access rights PC Mary Blood Tap to see access rights PC Jay Walker Permit expired Tap to see access rights TheWhollySee Imaging that makes sense
  • 2. 0.4 息 2015TheWhollySee Haifa, Israel www.thewhollysee.com Passive optical tags provide sensitivity to storage conditions Same camera(s) perform simultaneous remote monitoring of various sensor tags at multiple locations Limited shelf life storage Dry storage Cold storage DEFROSTED!