Jiuding Investment posts first-half loss of about 88 million yuan; how solid is its robotics business?

Seeing Machines Limited published a Technical Paper demonstrating how robots and other Physical AI systems can achieve real-time 3D human understanding directly on embedded hardware. The paper presents the company's Human Mesh Recovery technology, a core capability of its Human-Centred Physical AI Platform launched in August 2026, which uses a single camera view to reconstruct a detailed 3D representation of a person so a machine can understand their location, posture and movement in real time. Deployed on NVIDIA Jetson Thor hardware, the technology delivers up to 180 FPS while combining state-of-the-art accuracy with low latency and compact model size, and the HMR model supports both standard RGB cameras and RGB-D cameras without increasing its parameter count. CEO Paul McGlone said the technology brings detailed 3D human understanding into real-world environments such as factories, hospitals and warehouses, drawing on Seeing Machines' 25 years of human-sensing expertise. Seeing Machines, founded in 2000 and headquartered in Australia, operates across Australia, the USA, Europe and Asia.

BlackBerry QNX and neueHCT said a major German automaker has selected neueHCT's HCT Luna High-Performance Smart Camera Solution for a global passenger vehicle platform that will launch in China. The program will cover vehicles sold in China, Australia, New Zealand, Japan, and South Korea, with production expected to start in 2027 and projected volumes of several million units over the first three years. According to the companies, the deal is the first major global program for the HCT Luna solution using QNX. The solution is built on Horizon Robotics' Journey 6B automotive computing platform and runs on QNX OS for Safety 8.0. The smart camera system supports features such as automatic emergency braking, lane departure warning, and traffic light recognition, and is designed to handle situations including vehicle cut-ins, sharp curves, construction areas, and roads where lane markings are limited or absent. QNX said its software provides real-time performance and fault isolation and is certified to ISO 26262 ASIL D.

Advanced Micro Devices, or AMD, announced on Monday, September 28, that it has reached an agreement to acquire World Labs, the artificial intelligence startup founded by Dr. Fei-Fei Li, in an all-stock transaction valued at 8.2 billion dollars. The move establishes AMD's foothold in research and development of Physical AI systems capable of understanding and simulating the real world. The acquisition will give AMD access to research in Spatial Intelligence, an emerging field focused on enabling AI systems to build three-dimensional models of environments and simulate physical interactions. World Labs had recently raised 1 billion dollars in a funding round earlier this year, in which AMD also participated. Dr. Fei-Fei Li, a renowned AI researcher known for her pioneering work in computer vision, will join AMD as executive vice president and chief scientist once the acquisition process is complete. She will report to AMD CEO Lisa Su, and the deal is expected to close by the end of 2026.

The global computer vision market is projected to grow from $17.75 billion in 2025 to $20.52 billion in 2026 and reach $37.1 billion by 2030, expanding at a compound annual growth rate of 15.9%, according to the Computer Vision Market Report 2026 added to ResearchAndMarkets.com's offering. The 2025-to-2026 increase represents a CAGR of 15.6%, with growth driven by declining computing costs, wider adoption of automation technologies, early machine vision systems and increased deployment of industrial robots. Continued investment in AI-based image recognition and real-time video analytics is expected to sustain growth through the end of the decade, supported by improvements in deep learning models, the development of autonomous vehicles, the expansion of smart factories and rising demand for real-time operational insights, with edge computer vision, 3D vision systems and vision-guided automation also shaping product development. Retail digitalization is a significant factor supporting demand, as retailers invest in cashierless checkout, artificial intelligence, big data analytics, cloud computing, Internet of Things infrastructure and mobility solutions, while the expansion of e-commerce reinforces demand for automated warehousing, visual product identification and streamlined fulfillment. In May 2025, Amniscient Inc. launched AmniSphere, a computer vision AI platform offering real-time operational monitoring, reported accuracy of 99.9% and a low-code interface, and in March 2025, SightLine Applications LLC acquired Athena AI for an undisclosed amount to combine AI-enabled vision, geospatial analysis and neural network-based decision-support capabilities with SightLine's edge video processing platform. Asia-Pacific was the largest region in the computer vision market in 2025, while North America is expected to record the fastest growth during the forecast period, and the report benchmarks companies including Microsoft Corporation, Sony Semiconductor Solutions Corporation, Intel Corporation, Texas Instruments Incorporated and MediaTek Inc.

Teledyne e2v, a Teledyne Technologies company, announced Nexora, a new family of backside-illuminated global shutter CMOS image sensors for demanding machine vision applications. The sensors are available in 12 MP (4,096 by 3,072) and 16 MP (4,096 by 4,096) resolutions, in both monochrome and color versions, targeting high-resolution machine vision, intelligent traffic systems, and outdoor surveillance. Teledyne e2v's proprietary BSI pixel technology delivers quantum efficiency of up to 73% at 550 nm and 15% at 940 nm, and the family also features a 3D-stacked sensor architecture. Nexora uses an LVDS interface compatible with a wide range of FPGAs and image signal processors, and is housed in a compact 23 by 21.5 mm package compatible with 29 by 29 mm² cameras and standard C-mount optics. Rafael Romay, President of Teledyne Vision Solutions, said the platform balances image quality, speed and integration simplicity, and the sensors will be shown at VISION in Stuttgart, Germany, Oct. 6-8, 2026, in Hall 8, Booth 8B10, with documentation and samples available now upon request.