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"*Λ׆༻ͨ͠ϨγʔτಡΈऔΓػೳͷ
։ൃ͔ΒಘΒΕ࣮ͨફ
J04%$+BQBO
!SPDLOBNF
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㲔
Smart, Secure, Mobile
Super powered Banking and Living.
--.Λ׆༻ͨ͠ػೳΛ։ൃͨ͜͠ͱ͕͋Δਓ🙋
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X
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എܠ
"*ϨγʔτಡΈऔΓ #·ͱΊ "*ࢧग़τʔΫ
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എܠ
"*ϨγʔτಡΈऔΓ #·ͱΊ "*ࢧग़τʔΫ
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ࠓ͢͜ͱ
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ࠓ͢͜ͱ
"*ϨγʔτಡΈऔΓػೳͷ֓ཁ
Ϩγʔτ0$3
'PVOEBUJPO.PEFMTͷՄೳੑ
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4NBSU#BOL
*OD
.PCJMF"QQMJDBUJPO%FWFMPQFS
ϩΫωϜ
!@SPDLOBNF !SPDLOBNF
ࣗݾհ
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"*ϨγʔτಡΈऔΓػೳͷ֓ཁ
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"*ϨγʔτಡΈऔΓػೳͷ֓ཁ
όοΫΤϯυଆͰͷ࣮ʹ͍ͭͯৄࡉͪ͜Β
IUUQTTQFBLFSEFDLDPNNP[OJPOGSPNHSPVOEFEUFDIDIPJDFTUPNBHJDBMVYBDBTFTUVEZPGBJ
SFDFJQUTDBOOJOH
!NP[OJPO
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Ϩγʔτ0$3
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IUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPOBWGPVOEBUJPOTFUUJOHVQBDBQUVSFTFTTJPO
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let session = AVCaptureSession()
func configureSession() {
session.beginConfiguration()
defer { session.commitConfiguration() }
setupInput()
setupOutput()
}
func setupInput() { … }
func setupOutput() { … }
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func configureSession() {
…
setupInput()
setupOutput()
}
func setupInput() {
let device = AVCaptureDevice.default(
.builtInWideAngleCamera,
for: .video,
position: .back
)!
let deviceInput = try! AVCaptureDeviceInput(device: device)
if session.canAddInput(deviceInput) {
session.addInput(deviceInput)
}
}
func setupOutput() { … }
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func configureSession() {
…
setupInput()
setupOutput()
}
func setupInput() { … }
func setupOutput() {
let videoDataOutput = AVCaptureVideoDataOutput()
videoDataOutput.setSampleBufferDelegate(
self,
queue: sampleBufferQueue
)
if session.canAddOutput(videoDataOutput) {
session.addOutput(videoDataOutput)
}
videoDataOutput.connection(with: .video)?.isEnabled = true
}
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// AVCaptureVideoDataOutputSampleBufferDelegate method
func captureOutput(
_ output: AVCaptureOutput,
didOutput sampleBuffer: CMSampleBuffer,
from connection: AVCaptureConnection
) {
// TODO: ϏσΦϑϨʔϜͷϋϯυϦϯά
}
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Ϩγʔτ0$34FUVQDBNFSB
0$3ͷਫ਼ΛߴΊΔͨΊʹ
)JHI3FTPMVUJPO 'PDVT
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Ϩγʔτ0$34FUVQDBNFSB
0$3ͷਫ਼ΛߴΊΔͨΊʹ
)JHI3FTPMVUJPO 'PDVT
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func configureSession() {
…
if session.canSetSessionPreset(.hd4K3840x2160) {
session.sessionPreset = .hd4K3840x2160
}
…
}
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Ϩγʔτ0$34FUVQDBNFSB
0$3ͷਫ਼ΛߴΊΔͨΊʹ
)JHI3FTPMVUJPO 'PDVT
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Ϩγʔτ0$34FUVQDBNFSB
ϨγʔτΧϝϥͱൺֱత
ۙڑͰࡱӨ͞ΕΔɻ
ͦͷલఏΛ
"7$BQUVSF%FWJDF͋Β͔
͡Ί͓͑ͯ͘ͱϑΥʔΧ
ε͕߹͍͘͢ͳΔɻ
ϑΥʔΧεΛ߹ΘͤΔ
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func setupInput() {
…
if device.isAutoFocusRangeRestrictionSupported {
device.autoFocusRangeRestriction = .near
}
…
}
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Ϩγʔτ0$34FUVQDBNFSB
࠷খϑΥʔΧεڑͱɺ໌ͳϑΥʔ
ΧεΛ߹ΘͤΔ͜ͱ͕Ͱ͖ΔɺϨϯζ͔
Βඃࣸମ·Ͱͷ࠷͍ۙڑͷ͜ͱɻ
ඃࣸମ͕Χϝϥͷ࠷খϑΥʔΧεڑΑ
Γ͍ۙ߹ɺϑΥʔΧεΛ߹ΘͤΒΕ
ͣʹը૾͕΅͚ͯ͠·͏ɻ
࠷খϑΥʔΧεڑΛߟྀ͢Δ
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Ϩγʔτ0$34FUVQDBNFSB
ඞͣ࠷খϑΥʔΧεڑҎ্͞ͳ͍
ͱϨγʔτ͕ΧϝϥϓϨϏϡʔʹऩ·Β
ͳ͍Α͏ʹζʔϜΛద༻͢Δɻ
88%$ͷηογϣϯ8IBU`TOFXJO
DBNFSBDBQUVSFʹͯհ͞Ε͍ͯΔํ
๏ɻ
ڑ͕։͘Α͏ʹζʔϜΛௐ
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func setupInput() {
…
let minimumSubjectDistance = minimumSubjectDistance(
fieldOfView: device.activeFormat.videoFieldOfView,
minimumReceiptWidth: 60, // ఆ͞ΕΔ࠷খͷϨγʔτล (mm)
previewFillPercentage: 0.8 // ϓϨϏϡʔͷ෯ʹର͢Δඃࣸମͷׂ߹
)
}
func minimumSubjectDistance(
fieldOfView: Float,
minimumReceiptWidth: Float,
previewFillPercentage: Float
) -> Float {
let radians = degreesToRadians(fieldOfView / 2.0)
let filledSize = minimumReceiptWidth / previewFillPercentage
return filledSize / tan(radians)
}
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func setupInput() {
…
let deviceMinimumFocusDistance =
Float(device.minimumFocusDistance)
if minimumSubjectDistance < deviceMinimumFocusDistance {
let zoomFactor =
deviceMinimumFocusDistance / minimumSubjectDistance
device.videoZoomFactor = CGFloat(zoomFactor)
}
}
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#FGPSF "GUFS
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Ϩγʔτ0$3%FUFDU3FDFJQU
จࣈྻ͕هࡌ͞Εۣͨܗঢ়ͷΦϒ
δΣΫτΛϨγʔτͱͯ͠ݕग़ɻ
ͦͷ্ͰɺϢʔβʔͷखϒϨ͕ൃੜ
͠ͳ͍ϕετͳλΠϛϯάΛݕ͠
ͯ0$3Λ࣮ߦ͍ͨ͠ɻ
ϨγʔτݕϩδοΫ
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Ϩγʔτ0$3%FUFDU3FDFJQU
ݕग़ҐஔͱαΠζ͕ۙࣅ͠ଓ͚ͨ߹ʹϨγʔτΛݕͨ͠ͱΈͳͯ͠
0$3Ҡߦ͢Δ͜ͱʹɻ
ϨγʔτݕϩδοΫ
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IUUQTTQFBLFSEFDLDPNOBLBNVVVJPTEDKBQBO TMJEF
J04%$ʰγʔϜϨεͳମݧΛ࣮ݱ͢Δຊਓ֬ೝϑϩʔͷߏஙʱ
!OBLBNVVV
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Ϩγʔτ0$3%FUFDU3FDFJQU
"QQMFͷίϯϐϡʔλʔϏδϣϯ
ϑϨʔϜϫʔΫɻ
ػցֶशΛ༻͍ͯը૾ɾө૾ͷղ
ੳΛΞϓϦ্Ͱ࣮ߦͰ͖Δɻ
7JTJPOGSBNFXPSL
IUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPOWJTJPO
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Ϩγʔτ0$3%FUFDU3FDFJQU
ը૾͔ΒจࣈΛؚΉۣܗͷྖҬΛ
ݕग़͢ΔϦΫΤετɻ
·ͣ͜ΕͰը૾͔ΒϨγʔτͬ
Ά͍ۣܗΛݕग़͢Δɻ
%FUFDU%PDVNFOU4FHNFOUBUJPO3FRVFTU
IUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPOWJTJPOEFUFDUEPDVNFOUTFHNFOUBUJPOSFRVFTU
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Ϩγʔτ0$3%FUFDU3FDFJQU
͋Β͔͡Ίಛఆ͞ΕۣͨܗΦϒ
δΣΫτͷಈ͖Λɺෳͷը૾
ϏσΦϑϨʔϜʹΘͨͬͯ͢
Δը૾ղੳϦΫΤετɻ
5SBDL3FDUBOHMF3FRVFTU
IUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPOWJTJPOUSBDLSFDUBOHMFSFRVFTU
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actor ReceiptDetector {
func processVideoFrame(sampleBuffer: CMSampleBuffer) async {
await startToTrackReceiptRect(sampleBuffer: sampleBuffer)
}
private func startToTrackReceiptRect(sampleBuffer:
CMSampleBuffer) async {
do {
let request = DetectDocumentSegmentationRequest()
let detectedDocumentObservation =
try await request.perform(
on: sampleBuffer,
orientation: .right
)
} catch { … }
}
}
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actor ReceiptDetector {
private var trackRectangleRequest: TrackRectangleRequest?
…
private func startToTrackReceiptRect(sampleBuffer:
CMSampleBuffer) async {
…
guard
let detectedDocumentObservation,
detectedDocumentObservation.confidence > 0.5
else { return }
let trackingRequest = TrackRectangleRequest(
detectedRectangle: detectedDocumentObservation,
.revision1
)
trackingRequest.trackingLevel = .accurate
self.trackRectangleRequest = trackingRequest
}
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actor ReceiptDetector {
private var trackRectangleRequest: TrackRectangleRequest?
func processVideoFrame(sampleBuffer: CMSampleBuffer) async {
guard let trackRectangleRequest else {
await startToTrackReceiptRect(sampleBuffer: sampleBuffer)
return
}
await trackReceiptRect(
trackRectangleRequest: trackRectangleRequest,
sampleBuffer: sampleBuffer
)
}
private func trackReceiptRect(…) async { … }
}
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actor ReceiptDetector {
…
private func trackReceiptRect(
trackRectangleRequest: TrackRectangleRequest,
sampleBuffer: CMSampleBuffer
) async {
do {
let rectangleObservation =
try await trackRectangleRequest.perform(
on: sampleBuffer,
orientation: .right
)
// ✅ ݕग़ҐஔͱαΠζ͕ۙࣅ͠ଓ͚͍ͯΔ͔Ͳ͏͔Λఆ͢Δ
} catch { … }
}
}
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Ϩγʔτ0$3%FUFDU3FDFJQU
ຖϑϨʔϜը૾ॲཧΛ࣮ߦ͢Δ
ͱෛՙ͕ߴ͍ɻ
ը૾ॲཧΛ࣮ߦதͷ߹ૣظ
Ϧλʔϯ͠ɺಉ࣌ʹෳͷը૾
ॲཧ͕Βͳ͍Α͏ʹ͢Δɻ
ύϑΥʔϚϯεվળ5JQT
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actor ReceiptDetector {
private var isDetectingReceipt = false
…
func processVideoFrame(sampleBuffer: CMSampleBuffer) async {
if isDetectingReceipt { return }
isDetectingReceipt = true
defer { isDetectingReceipt = false }
…
}
…
}
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Ϩγʔτ0$3%FUFDU3FDFJQU
Ϩγʔτݕʹ͓͍ͯը૾
ͦ͜·Ͱߴղ૾Ͱ͋Δඞཁ
ͳ͍ɻ
খ͘͞ϦαΠζͨ͠ը૾ʹର͠
ۣͯܗݕग़ͱͷϦΫΤετ
Λ࣮ߦ͢Δɻ
ύϑΥʔϚϯεվળ5JQT
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guard let pixelBuffer =
CMSampleBufferGetImageBuffer(sampleBuffer) else { return }
let originalImage = CIImage(cvImageBuffer: pixelBuffer)
let originalSize = originalImage.extent.size
let originalShortSide =
min(originalSize.width, originalSize.height)
let targetShortSide: CGFloat = 512
let resizeScale = min(1.0, targetShortSide / originalShortSide)
let resizedImage = originalImage.transformed(
by: CGAffineTransform(scaleX: resizeScale, y: resizeScale)
)
…
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Ϩγʔτ0$33FDPHOJ[F5FYU
ը૾ͷςΩετΛೝࣝ͢ΔϦΫ
Τετɻ
3FDPHOJ[F5FYU3FRVFTU
IUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPOWJTJPOSFDPHOJ[FUFYUSFRVFTU
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final class ReceiptTextRecognizer {
func recognizeText(sampleBuffer: CMSampleBuffer) async throws
-> [String] {
var request = RecognizeTextRequest(.revision3)
request.recognitionLanguages = [
Locale.Language(identifier: "ja-JP"),
Locale.Language(identifier: "en-US")
]
request.recognitionLevel = .accurate
let result = try await request.perform(
on: sampleBuffer,
orientation: .right
)
}
}
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Ϩγʔτ0$3%FUFDU3FDFJQU
ςΩετೝ͔ࣝͳΓॲཧ͕ॏ
͍ɻ
Ͱ͖Δ͚ͩෛՙΛখ͘͢͞Δͨ
ΊʹSFHJPO0G*OUFSFTUͰςΩε
τೝࣝͷରྖҬΛݶఆ͢Δɻ
ύϑΥʔϚϯεվળ5JQT
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func recognizeText(
sampleBuffer: CMSampleBuffer,
receiptRect: NormalizedRect
) async throws -> [String] {
var request = RecognizeTextRequest(.revision3)
let expandedRect =
expandNormalizedRect(receiptRect, percent: 0.05)
request.regionOfInterest = expandedRect
…
}
private func expandNormalizedRect(
_ rect: NormalizedRect,
percent: CGFloat
) -> NormalizedRect {
// ✅ ۣܗΛ෯ɾߴ͞ͷׂ߹ʢpercentʣ͚࢛ͩํʹ֦ு͢Δ
}
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Ϩγʔτ0$33FDPHOJ[F5FYU
࣮ߦ݁Ռͱͯ͠ʮը૾ͰςΩε
τͱఆ͞Ε֤ͨྖҬʯΛද͢
3FDPHOJ[FE5FYU0CTFSWBUJPOͷ
ྻ͕ฦΔɻ
֤ྖҬʹը૾ʹ͓͚Δ࠲ඪ͕
ׂΓৼΒΕ͍ͯΔɻ
3FDPHOJ[F5FYU3FRVFTU3FTVMU
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{
"string": "ίΧɾίʔϥ ϠΧϯϊϜΪνϟ",
"bounding_box": {
"x": 0.11,
"y": 0.70,
"width": 0.38,
"height": 0.01
}
},
{
"string": "650ml",
"bounding_box": {
"x": 0.49,
"y": 0.70,
"width": 0.14,
"height": 0.01
}
}, …
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{
"string": "ίΧɾίʔϥ ϠΧϯϊϜΪνϟ",
"bounding_box": {
"x": 0.11,
"y": 0.70,
"width": 0.38,
"height": 0.01
}
},
{
"string": "650ml",
"bounding_box": {
"x": 0.49,
"y": 0.70,
"width": 0.14,
"height": 0.01
}
}, …
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Ϩγʔτ0$33FDPHOJ[F5FYU
Ϩγʔτͷ্͔ΒԼʹฒͿςΩετ
ͱಉ͡ॱংͰߦͣͭվߦ۠ΓͰ
ܗ͢Δɻ
গͳ͍τʔΫϯͰ֤จࣈྻͷ࠲ඪ
ใΛ͑Δ͜ͱ͕Ͱ͖Δɻ
--.͕ղऍ͍͢͠ܗʹલॲཧ
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[
"ηϒϯ-ΠϨϒϯ",
"౦ޒా1ஸళ",
"౦ژ۠౦ޒా1-12-2",
"ిɿ03-3440-5055 Ϩδˌ1",
"ࣄۀऀొ൪߸5010701018426",
"202409݄13ʢۚʣ09:22 210",
"ྖऩॻ",
"ίΧɾίʔϥ ϠΧϯϊϜΪνϠ 650ml ˎ138",
"Ҿֹ -20”,
"ʢۚ ¥138ʣ",
…
]
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Ϩγʔτ0$33FDPHOJ[F5FYU
༨ஊ88%$Ͱൃද͞Εͨ3FDPHOJ[F%PDVNFOUT3FRVFTU
IUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
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PostalAddress(
fullAddress: "౦ژ۠౦ޒా
1
－
12
－
2",
street: "౦ޒా1
－
12
－
2",
city: "۠",
state: "౦ژ"
)
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PhoneNumber(
phoneNumber: "03-3440-5055",
label: "Work"
)
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CalendarEvent(
allDay: false,
startDate: "2024-09-13 09:22:00
+0000",
startTimeZone: nil,
endDate: nil,
endTimeZone: nil
)
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MoneyAmount(
currency: jpy,
amount: 138
)
MoneyAmount(
currency: jpy,
amount: 127
)
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MoneyAmount(
currency: jpy,
amount: 138
)
MoneyAmount(
currency: jpy,
amount: 127
)
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Ϩγʔτ0$3%FUFDU3FDFJQU
w ॅॴి൪߸ʹ͍͔ͭͯͳΓਫ਼ߴ͘நग़ͯ͘͠Εͦ͏
w ֹۚͷநग़ʹ͍ͭͯϜϥ͕͋ΔͨΊશʹ৴པ͢Δ͜ͱͦ͠
͏
3FDPHOJ[F%PDVNFOUT3FRVFTUͷධՁ
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'PVOEBUJPO.PEFMTͷՄೳੑ
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'PVOEBUJPO.PEFMTͷՄೳੑ
"QQMF*OUFMMJHFODFͷݴޠϞσ
ϧΛ4XJGU͔Βܕ҆શʹѻ͑Δ
ϑϨʔϜϫʔΫͰɺཁɾந
ग़ɾϦϥΠτΛΦϯσόΠε
͔ͭϓϥΠόγʔ༏ઌͰ࣮ߦ͠
·͢ɻ
'PVOEBUJPO.PEFMTͱ
IUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPO'PVOEBUJPO.PEFMT
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'PVOEBUJPO.PEFMTͰ
ϨγʔτใͷߏԽͰ͖Δͷ͔ʜʁ
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@Generable
struct ReceiptInferenceResponse {
@Guide(description: "Merchant/store name.")
let shopName: String?
@Guide(description: "Purchase (transaction) date normalized
to ISO 8601 `YYYY-MM-DD`.")
let date: String?
@Guide(description: "Grand total amount paid in JPY (tax-
inclusive), as a non-negative integer.")
let amount: Int?
@Guide(description: "Category for this receipt.")
let category: Category?
}
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final class ReceiptStructureInferrer {
private let session: LanguageModelSession
init() {
self.session = LanguageModelSession(
instructions: Instructions {
"""
…
"""
}
)
}
}
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Instructions {
"""
You are an information extractor for retail receipts.
Carefully read through the input text in Japanese, scanned
from a receipt.
Line breaks correspond to each line of the receipt from top
to bottom.
Extract receipt information and return it in the provided
schema format
Each category definition for a receipt is following:
- groceries: foodstuff, groceries
- diningOut: payments related to restaurants, bars, and
other dining expenses
- householdSupplies: daily necessities, excluding food items
…
"""
}
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final class ReceiptStructureInferrer {
…
func infer(receiptTextLines: [String]) async throws ->
ReceiptInferenceResponse {
let prompt = Prompt { … }
let response = try await session.respond(
to: prompt,
generating: ReceiptInferenceResponse.self,
options: GenerationOptions(temperature: 0.1)
)
return response.content
}
}
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Prompt {
"""
## Task
Extract fields from the following OCR lines of a Japanese
retail receipt.
## Input
\(receiptTextLines.joined(separator: "\n"))
## Requirements
- The output format must be valid.
- Ensure that the output is complete and not truncated.
- If any information is missing or unclear, use "nil" for
that field.
"""
}
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ಈ͔ͯ͠ΈΔ📸
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'PVOEBUJPO.PEFMTͷՄೳੑ
w ళ໊ɾͷநग़݁ߏ͏·͍͘͘
w ֹۚͷநग़ɺΧςΰϦͷਪपΓͰগ͠՝͋Γ
w ͜Ε͕ແྉ͔ͭMPDBM݁Ͱମݧͱͯ͠ఏڙͰ͖Δͷ͍͢͝
'PVOEBUJPO.PEFMTͷධՁ
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·ͱΊ
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