Myzhar & MyzharBot

Great to see @Stereolabs3D featured in @tomscott 's video on AI strawberry picking! Stereo depth tells the arm exactly where each berry sits, so it can pick ripe fruit without damaging the plant. The compact camera mounts right beside the arm, close to the action

.@nvidia JetPack 7.2 is now supported across all @Stereolabs3D ZED X GMSL cameras and AVerMedia Jetson Orin and Thor carrier boards. A unified driver architecture from Stereolabs, an Ouster company, lets hardware and software releases ship in parallel, for a faster path to production. Read the full announcement here: businesswire.com/news/home/2…

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Precision is only useful if it survives the altitude you actually fly at. Plenty of sensors are precise up close. The Rev8 OS1 Max pairs ±0.25 cm precision with detection out to 200 meters at 10% reflectivity, so the point cloud is still thin-walled and low-noise at the 80 to 120 meter altitudes mapping teams fly. High precision at short range covers a fraction of a corridor. Precision that holds at altitude covers the whole thing. Explore this dataset in Ouster Studio: studio.ouster.com/share/AES4…

Drivers in the US strike and kill roughly 18 people on foot every day, more than 7,000 a year. Many of those deaths happen where people cross outside a marked crosswalk, at spots the road was never designed for them to use. The problem is that cities have no data on where that happens until a crash report tells them. Ouster BlueCity detects and records pedestrians crossing outside of crosswalks 24/7 with no manual data collection, and builds heat maps of exactly where and when it happens. Cities use that to place signage, markings, lighting, or flashing beacons where pedestrians actually cross, not where a study three years ago guessed they might.

GUSS Automation, a wholly owned @JohnDeere subsidiary and the pioneer that built the world's first autonomous orchard sprayer, plans to integrate Ouster's Rev8 OS0 native color digital lidar into the next generation of its Autonomous Orchard Machine fleet. GPS alone lacks the centimeter-level precision to safely navigate dense orchards and vineyards. The OS0's ultra-wide field of view maps tree trunks, crop rows, and ground contours in dense 3D, supporting navigation and obstacle detection across changing light, dust, spray, and heavy vegetation. It lets a single operator monitor up to eight autonomous machines at once from a laptop.