Runscanner

Runscanner is a OCR app using ML Kit Text Recognition model.

This app helps runner going to Club 16.

• Scan your running from picture.
• Record your running with card.
• Take statistics of your running

Demo

Screenshots

App theme

Font

1. Roboto Condensed
   • Character
2. Eczar
   • Numerical character

Color

1. Primary
   • #1EB980
2. PrimaryVariant
   • #045D56
3. Secondary
   • 3B4859
4. Background
   • #37474f
5. Surface
   • #455a64
6. OnPrimary
   • #FFFFFF
7. OnSecondary
   • #000000
8. OnBackground
   • #FFFFFF
9. OnSurface
   • #FFFFFF

Data

Table#1 [runs]

No.	Column name	Type	Unit
1	__id
2	uuid
3	distance	REAL	meter
4	calorie	INTEGER	kcal
5	duration	INTEGER	second
6	average_pace	INTEGER	second/mile
7	average_heart_rate	INTEGER	bpm
8	date	INTEGER	millisecond(unix time)

Model#1 [Run]

No.	Attribute name	Type	Unit	Meaning
1	mId	UUID		uuid
2	mDistance	double	meter	run distance
3	mCalorie	int	kcal	used calories
4	mDuration	long	second	running time
5	mAvePace	long	second/mile	average pace
6	mAveHeartRate	int	bpm	average heart rate
7	mDate	long	millisecond(unix time)	taken date

SQLite

1. select
   1. full search
      • select * from runs;
   2. with where clause
      1. from ${BEGIN}
         • select * from runs where date >= ${BEGIN};
      2. before ${END}
         • select * from runs where date < ${END};
      3. from ${BEGIN} and before ${BEGIN}
         • select * from runs where date >= ${BEGIN} and date < ${END};
2. count
   1. full count
      1. select count(*) from runs;
   2. with where clause
      1. from ${BEGIN}
         • select count(*) from runs where date >= ${BEGIN};
      2. before ${END}
         • select count(*) from runs where date < ${END};
      3. from ${BEGIN} and before ${BEGIN}
         • select count(*) from runs where date >= ${END} and date < ${BEGIN};

• total
  1. full total
     • total(${COLUMN NAME})
  2. with where clause
     1. from ${BEGIN}
        • select total(${COLUMN NAME}) from runs where date >= ${BEGIN};
     2. before ${END}
        • select total(${COLUMN NAME}) from runs where date < ${BEGIN};
     3. from ${BEGIN} and before ${BEGIN}
        • select total(${COLUMN NAME}) from runs where date >= ${END} and date < ${BEGIN};
• insert
  • insert into runs(uuid, distance, calorie, duration, average_pace, average_heart_rate, date) values('${UUID}', ${DISTANCE}, ${CALORIE}, ${DURATION}, ${AVERAGE_PACE}, ${AVERAGE_HEART_RATE}, ${DATE});