While the technology behind the feature is fascinating, the way Snap is promoting it today feels somewhat awkward given current social unrest over the Black Lives Matter movement. Unlike rivals, which have focused primarily on mapping and marketing applications, Snap plans to let users change the look of neighborhoods with digital content. Local Lenses promises to create large-scale point clouds to recognize multiple buildings within an area - an expansion of the company’s prior Landmarking feature - to map entire city blocks, the same vision pursued by companies such as Immersal and Scape (now owned by Facebook). Snap is also previewing a new feature, Local Lenses, which will “soon” let users share persistent augmented reality content within neighborhoods.
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Additionally, the user-facing Snapchat app will be expanding its Scan feature with the abilities to recognize 90% of all known plants and trees, nearly 400 breeds of dogs, packaged food labels, and Louis Vuitton’s logo, plus SoundHound integration to let users find pertinent Lenses using only voice commands. Lens Studio has also added new hand gesture templates, as well as Face Landmarks and Face Expressions that should improve facial tracking for specific situations. MetaBeat will bring together metaverse thought leaders to give guidance on how metaverse technology will transform the way all industries communicate and do business on October 3-4 in San Francisco, CA.īeyond Wannaby, developers including CV2020, visual filter maker Prisma, and several unnamed Lens creators are also working on SnapML-based filters. As an example of the technology, Lens Studio will include a new foot tracking ML model developed by Wannaby, enabling developers to craft Lenses for feet. A new feature called SnapML - unrelated to IBM’s same-named training tool - will let developers import machine learning models to power lenses, expanding the range of real world objects and body parts Snapchat will be able to instantly identify.
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Today’s key change is an update to Lens Studio, the free desktop development app used to create most of Snapchat’s AR filters. Now parent company Snap is enabling creators to use self-provided machine learning models in Lenses, and hoping the initiative will inspire partnerships between ML developers and creatives. Over the past few years, Snapchat’s growing collection of Lenses have been some of the best examples of smartphone-powered augmented reality, enabling users to effortlessly add facial modifications, environmental effects, and location-specific filters to their photos. Interested in learning what's next for the gaming industry? Join gaming executives to discuss emerging parts of the industry this October at GamesBeat Summit Next.
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