IAAF approves application of three Russians to compete as neutral athletesSport February 24, 1:43
US lawmakers present no evidence of Russia’s interference in US election - Russian MPRussian Politics & Diplomacy February 23, 21:42
Russia to continue strengthen its Armed Forces - PutinRussian Politics & Diplomacy February 23, 21:37
4,000 Russian nationals fight among militants in Syria - PutinRussian Politics & Diplomacy February 23, 21:31
Opposition’s demand of Assad’s immediate resignation absurd - Russian envoy to GenevaRussian Politics & Diplomacy February 23, 16:34
Moscow celebrates Defender of the Fatherland DaySociety & Culture February 23, 16:19
ISS astronauts capture Dragon with manipulatorScience & Space February 23, 14:36
Vitaly Churkin’s body delivered to RussiaRussian Politics & Diplomacy February 23, 12:30
Ukrainian military shell Donetsk water purification plantWorld February 23, 11:45
MOSCOW, September 12. /TASS/ Skoltech and Inspector Cloud company have recently initiated the development of a system capable of recognizing images to account for goods on the shelves of grocery stores, the Skoltech press-service reported.
Up to now, accounting for wares in Russia has been performed manually, therefore, the data on the actual presence of an item and its amount on the shelves might be unprecise.
Inspector Cloud receives pictures of grocery shelves stocked with consumer items and with the algorithms of its neuron networks recognizes the goods and then generates a report of the actual status. Skoltech scientists will consult the developers from Inspector Cloud, and share their experience and knowledge in the field of computer vision.
From Skoltech’s side, Viktor Lempitsky will be taking part in the joint project. In the past, he was employed at Microsoft Research and at the Massachusets Technology Institute, now he leads a group of computer vision gurus at Skoltech. He is one the most prominent researchers in the field of technical vision and neuron networks.
The tasks of automatic recognition are employed in others fields, for instance, in identifying a person by a photo or a video or for other types of clouds. -0- /pa.