9 December 2025

Assaia raises USD 26.6M Series B

Assaia develops computer vision software to monitor aircraft turnaround operations.

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25 Sept

DAPEVO keeps tracking camera motion when video frames drop out

UZH researchers developed DAPEVO to estimate camera motion from conventional images and asynchronous event-camera measurements. It tracks corresponding patches in both inputs separately, then uses a learned gate to combine their evidence before refining the motion estimate. After initialization using both images and events, event-only observations let tracking continue between sparse or unavailable conventional frames. On the UZH-FPV benchmark, retaining only one in six conventional frames increased DAPEVO's mean absolute trajectory error from 1.00 to 1.36 metres. In the same experiment, errors for DPVO and RAMP-VO rose by factors of 3.7 and 3.1 respectively. These are benchmark results from a research preprint, not a deployed navigation system.

CV Robotics

15 Sept

Scandit launches software to catch missed scans at self-checkouts

Scandit launched Self-Checkout Loss Prevention, software that compares camera footage with scanner and point-of-sale data to flag potential losses before checkout finishes. It detects patterns including missed scans, items left in trolleys and abandoned transactions. On-screen prompts let shoppers correct flagged items, with staff notifications available when intervention is needed. Video processing runs locally at each checkout station. The system can reuse existing cameras and does not require a dedicated in-store server or purpose-built AI camera, although installations may need a per-station processing unit. It analyses items and transaction activity without facial recognition or biometric identification.

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Assaia raises USD 26.6M Series B

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