First AI-Powered Cycling Glasses Unveiled at MWC

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At Mobile World Congress, you never know what cool gadgets you’ll come across. One standout was the BleeqUp Ranger, a pair of AI-powered cycling glasses with a built-in camera. The company claims they’re the first AI cycling camera glasses on the market, and after trying them, I was surprised by how much tech they pack.

The glasses have a 1080p camera that can take 16MP photos and record videos with a 120-degree wide-angle view. A side button controls the camera—tap once for a photo, hold for two seconds to start or stop recording. They can record up to an hour of video and come with 32GB of storage. The glasses run on Qualcomm’s Snapdragon W5 chip, ensuring smooth performance.

The BleeqUp Ranger glasses in a nut shell can take pictures, record video, and play audio in a design that rests on your face while you cycle.

AI helps by automatically tagging important footage. If the glasses detect sudden movements, fast acceleration, or an emergency, they flag the video so you can easily find key moments later.

The built-in speakers are another impressive feature. Even in a noisy event hall, the sound was so clear and loud that I thought it was coming from another source—but it was just the glasses. You control playback with touch-sensitive areas on the frame, and the glasses also support hands-free voice controls, though I didn’t get a chance to test that feature.

BleeqUp Ranger: Durable, Lightweight, and Coming Soon

The Ranger glasses have an IP54 rating, meaning they can withstand rain and dust, which is great for cyclists. While wearing them, I found them lightweight and comfortable, with no heat buildup. If you wear prescription glasses, you can get clip-on inserts instead of wearing two pairs at once.

The BleeqUp Ranger is expected to launch in May for around $500, but there’s a catch—it’s a Kickstarter project. That means there’s a chance it might not actually make it to market. We tested a working prototype, but since we didn’t try it on a real bike, how well it performs in real-world conditions is still unknown.

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