Using Machine

Learning to look at streets

WHY HERE?RAILROAD MACHINE VISION

DEEP LEARNING APPLICATION

SOME SAMPLES

CAN YOU DO THIS?

MOST COMMON QUESTION

CYCLISTS, PEDESTRIANS, CARS...

ADDITIONAL FEATURES

HITTING SOME WALLS

STROLLERS / SCOOTERS

MOVEMENT

RESOLUTION

CENTRAL / DISTRIBUTE

D

LARGE VOLUMES OF DATA TO BE ANALYZED

BANDWIDTH ISSUES

CAPACITY / LOAD ISSUES

WHERE TO?

REQUESTS FOR ADDITIONAL FEATURES

TRICKY THINGS

HARDWARE CHALLENGES

3P ISSUES PRECISION

PREDICTABILITY

PERSONAL DATA PROTECTION

STILL OPEN QUESTIONS

RELIABILITY OF TRACKING (CROWDS)LIMITATIONS OF VISION (FLATNESS)CHANGES IN ANGLES/VIEWPOINTSSPECIFIC MOTIONS

REAL TIME (HW)?

SUFFICIENT POWER (high-res / high fps processing)

SMALL FORM / POWER FACTOR

THANKSJURIS PUCE

juris.puce(….)kleintech.net

www.kleintech.netwww.4smartstreets.com