2 Company overview Company name: Advanced Original Technologies Location: Matsuba-Cho , Kashiwa City Chiba Prefecture, JapanCEO: Katsumi InoueEstablished: Sept. 2010Capital: $Business Summary: Technology development,IP sales
3 Executive summarySLID is a new architectural conceptual processor for recognition and search purposes.SLID improves the weaknesses of existing DSP and CPU solutions and improves significantly power consumption for recognition and search uses cases.SLID has a high affinity towards other devices and is extremely easy to handle.SLID enables recognition performance beyond super computer capabilitiesSLID can be a stand alone chip (road map) and can also be integrated into digital Basebands , Application Co-processors , Sensor and other IC`s.SLID enables total new use cases and generates new business concepts
5 SLID Key benefitsRecognition of objects in <50μS possible => Can recognize >20000 Objects / sec. => parallel recognition possibleNo difference between exact and fuzzy recognition. => Can recognize >20000 fuzzy Objects / secEdge Detection in Color possible. Extreme fast Edge detection possible (< 50μS )。Possible to detect shapesFuzzy Search in terms of position and Value possible (see explanation p.x)SLID can be digitally integrated into any semiconductor, but also build a stand alone roadmap with different performance characteristicsNo need for special HW & SW => Reduces R&D costsReduces significantly power consumption for search tasksMiniturization and weight reduction benefits
6 SLID Key benefits 1) Speed 30.000 2.000.000 times faster than Exact Match on PC ! times faster than Fuzzy Match on PC !
7 SLID Key benefits 2) Search with exact values „Blue“„red“„Black“„green“„yellow“Normal search pattern has exact values eg, green, blue, red, black etc.
8 SLID Key benefits 2) Search with “fuzzy” values „Blue“ish„red“ish„Black“ish„green“ish„yellow“ishIs it possible to look for close values , eg. Colours who are close to the original value
9 SLID Key benefits 2) Search with fuzzy positions Black eyesFace colourFace sizePink lipsIs it possible enlarge the search area => fuzzy searchYou can combine “fuzzy values” with “fuzzy position” search
11 SLID Key benefits 3) Edge detection - Detects immediately address of red bodies. - Size and form can be instantly recognized
12 SLID Key benefits 4) Edge Detection - Detects immediately address of red bodies. - Size and form can be instantly recognized=> It’s possible to look for shape.
13 SLID target applications Immediate search result ! Face recognitionSearch ObjectImmediate search result !
14 SLID target applications Immediate search result ! Weather pattern recognitionSearch ObjectImmediate search result !
15 SLID target applications Immediate search result ! Chart pattern recognition (eg. Stock pattern)Search ObjectImmediate search result !
16 SLID target applications Immediate search result ! Data search from Server side ( parallel usage of SLID`s)SLIDSLIDSLIDSLIDSLIDSLIDSLIDSLIDData transfer to SLIDSLIDSLIDSLIDSLIDServerSLDSLIDSLIDSLIDPC analysis SoftwareSLIDSLIDSLIDSLIDSLIDSLIDSLIDSLIDSLIDSLIDSLIDSLIDSLIDSLIDSLIDSLIDAdress will be given back to serverSLIDSLIDSLIDSLIDImmediate search result !
17 SLID target applications Traffic control ( eg. number plate recognition)It is also possible, for instance, to specify the locations of the license plates on cars in an extremely fast manner.
18 SLID target applications DNA Search Conventional search・・・GATCATTGA・・・Search Object
19 SLID target applications Immediate search result ! DNA Search Search with SLID・・・GATCATTGA・・・Search ObjectImmediate search result !
20 SLID target applications Moving object recognitionＴ１Ｔ２Ｔ３Ｔ４・・・・No change to the background・・・A car has passed through it・・・・
21 SLID target applications Moving object recognitionThe area that does not match is the area that has moved.
22 SLID target applications Moving object recognitionＴ１Ｔ２Ｔ３Ｔ４Super-simple and fast recognition of a moving body
23 SLID target applications Stereo MatchＬ ImageＲ ImageMeasure depth by the difference in position in the horizontal direction.
25 SLID vs CPU CPU search takes extreme long time ! CPU detection search mechanism = serial search mechanism scanning all memory adressesCPU search takes extreme long time !
26 Immediate search result ! SLID vs CPUImmediate search result !
27 Inoue :update SLID vs CPU CPU vs. SLID Does set operating only with valuesDoes set operating with valuesDoes set Operating with addressesDoes parallel set operating with addresses and valuesGive adress outInoue :update
28 SLID technologyCPU is doing information processing only sequentially and hence extremely slow for set operating processing. If CPU speed is increased heat and power consumption will increaseSLID is processing data en bloc parallelSLID is compared to CPU many 1000 times faster and can reduce power consumption and heat.=> This enables totally new use cases, application and ideas !!!0000hData 00001hData 10002hData 20003hData 30004hData 40005hData 5000nhData nAddressData
29 Basic principleActual data is stored linearly from the first dimension to the Nth dimension into CAMSLID is using position and search data as search inputsearch pattern is matched with stored dataAddress shift can detect “fuzzy” data locationΣ（data & data location)= PatternAddress is used as output
33 Principle of SLID detection Because real images are very complex, here we will use an extremely simple image. This kind of image is stored in SLID’s memory.Query dataThis is the pattern we want to find.
34 Principle of SLID detection A mask is placed over the entire image.
35 Principle of SLID detection Counters are attached here (every pixel).countercountercountercountercountercountercounter
56 Principle of SLID detection Relative distance is a constant value in this image space. This is the basics of SLID.Query image
57 Principle of SLID detection (Primary judgement) Query imagePrimaryJudgment
58 Principle of SLID detection (Secondary judgment -1) Query imagePrimaryJudgment
59 Principle of SLID detection (Secondary judgment -2) Query imagePrimaryJudgmentSecondaryJudgment
60 Principle of SLID detection (Tertiary judgment -2) Query imagePrimaryJudgmentSecondaryJudgment
61 Principle of SLID detection (Tertiary judgment -2) Query imagePrimaryJudgmentSecondaryJudgmentTertiaryJudgment
62 Principle of SLID detection (Tertiary judgment -2) Here!Query imagePrimaryJudgmentSecondaryJudgmentTertiaryJudgment
63 Technology information FE process: TMSC 90 nmpackage: QFN 48Die size: (see next page)Power consumpt.: xx mADeliverables: RTL code in Verilog sourceSoftware in C-code sourceIntegration testbench with set of testcasesSynthesis scriptsDocumentation: functional specifications,integration guideTest reports FPGA Platform (additional cost)
65 Business model Full access to source code (RTL) License fee plus royaltiesFlexible terms in regards to single/multiple useLicense Fee includes training and initial supportMaintenance ProgramCustomization and IP Integration Design Services available from AOT Technologies
66 Support / ContactSales for SLID is handled by Cross Border TechnologiesFor Japan / US (Axel Bialke) Mobile Phone:For Korea / Taiwan / China (Eric Kim)Mobile Phone:For Europa (Andreas vom Felde)Mobile Phone: