The Development And Application Of Visual Search And Recognition Technology


Posted by LLJ43 | Posted in Search Company | Posted on 18-06-2016

Many companies are behind the new development and use of visual search technology. This innovative new technology attempts to use images as the main criteria for finding matches in a search engine database. One of the leading pioneers in the development of visual search engine technology is Slyce. This is a company that has developed real world and practical applications for visual search engine technology for both business and consumer use.

One of the niftiest ways of utilizing visual search recognition technology to provide convenience to people is through Slyce’s snip snap app. This new app lets people snap a photo of their coupons at home and upload it onto their mobile phone via the snip snap app. The coupons you have taken a photo of, can then be used at checkout and scanned directly from your smartphone.

Snip snap also allows people the ability to download coupons from the internet directly onto to their smartphone. This app provides a major convenience to shoppers. If they leave a coupon at home, but they have it uploaded onto their smartphone via snip snap they can still use it at checkout and save money.

Another use of visual recognition technology is through tagging items in social media photos on MySpace and Facebook. These platforms already have a tagging feature to tag individuals in the photo. Companies like Slyce are now developing technologies that can recognize and tag clothes and other items in a photo. This tagging feature stemming from visual search engine technology can have significant marketing potential. For example, popular Facebook photos that have certain brands or styles of clothing tagged could quickly gain in popularity. The increased popularity or awareness can boost sales of the item or brand that is being tagged.

Visual search engine and image recognition technology work in the following way. Information from a retailer or clothes maker is uploaded into a database. Metrics such as the color, tags, logos, texture, luster and size are recorded for each item. When a person uses an application that uses image recognition technology, that photo is analyzed and compared against the items in the visual search engine.

When the item in the photo matches the exact parameters of an item that is in the database a match is shown to the user of the app. If an exact match is not found, a very similar item will simply be shown instead. The results in a visual search engine often display traits such as the the name of the item, brand, price, where to purchase and other important information. 

Slyce Brings A Human Component To The AI Driven Visual Search Industry


Posted by LLJ43 | Posted in Search Company | Posted on 02-03-2016

Visual Search Developers Attempting To Solve Online Shopping Problems

The online shopping community is buzzing with innovative new tools that will forever change the way that consumers relate to their purchases. There are a plethora of image recognition tools that are out there for consumers to use for free to find the products that they are searching for online. The newest and most innovative service out there now is called visual search, and it is available from a variety of companies. There are plenty of start up companies around the world that are putting their own creative spin on this service. However, Slyce is the only company that has more to offer consumers than the typical artificial intelligence search generated results.

Slyce has done some major things in the visual search industry that are unprecedented. Like many of their competitors, Slyce has been focusing on what they can do in terms of their relationship with retailers. The retailer needs to know what products are selling fast, and they need to know what products they should anticipate sending to consumers because they will need to increase their supply. Slyce has been providing accurate analytic data to consumers since day one. However, they have also started to mix the AI technology with a real human interface. The human component is there to make sure that the AI is functioning properly.

Slyce’s human component is a customer care team. They are also doing the work of shopping assistants or personal shoppers. The customer care team is available to users of Slyce’s application. They are able to reach out the the customer care team by using Slyce’s real time chat menu. The users are able to ask any question they would like to ask. They often have questions about specific products that they are looking for on the app. This feature helps Slyce keep consumers happy, and it lowers the numbers of abandoned shopping carts.

In an article from Live Mint, Ram Prakash is a developer who aims to use visual search as a means to show precise analytic data to retailers. It is a problem that visual search companies think they can manage. They are hoping to put all the data in one place for retail companies to make the best use of for their supply side measures.