Digital Media Professionals Inc.
"Making the Image Intelligent"
Japanese edge-AI processor IP and SoC maker providing vision recognition products for robotics picking, AMR navigation and advanced driver safety.
Digital Media Professionals Inc. (DMP) is a Tokyo-listed semiconductor IP and AI computing company founded in 2002, originally as a developer of GPU hardware and software IP cores. Building on more than two decades of compact graphics processor design, DMP now delivers a full-stack AI portfolio spanning algorithms, IP cores, SoCs, modules, AI cameras and cloud services, targeting the robotics and advanced safety (ADAS/DMS) markets. Its edge AI processor line includes the Di1 SoC, the ZIA DV700 NPU series, the A3000 V2 NPU IP core and the ZIA ISP, designed for low-power, real-time image recognition in cameras, drones, special vehicles and electronic mirrors. For robotics, DMP offers the Cambrian 3D vision system, a Universal Robots-certified add-on for robotic arms that picks transparent, plastic and shiny metal parts under variable lighting, plus ZIA MOVE, an AMR software platform incorporating ZIA SLAM visual SLAM for camera-based autonomous navigation.
On the safety side, ZIA SAFE and ZIA Cloud SAFE apply AI image recognition to drive recorders, electronic mirrors, rail vehicles and smart city infrastructure. DMP also provides professional services including system design, board development and custom AI solutions. The company is headquartered in Nakano, Tokyo and is establishing the DMP Tokyo Robotics Innovation Center, while expanding internationally through partnerships in drones, surveillance cameras and edge AI across Japan, India and Taiwan.
Primary type & automation activities this supplier delivers:
Cambrian Vision System
Universal Robots-certified 3D vision add-on for robotic arm picking, robust to external lighting.
ZIA MOVE
AMR software platform with ZIA SLAM visual SLAM for camera-based autonomous navigation.
Di1 Edge AI SoC
Industry-first FP4-enabled edge AI SoC with real-time 3D ranging engine for vision applications.
ZIA DV700 Series NPU
Tiny edge AI processor IP core for low-power real-time image recognition.
Contact Digital Media Professionals Inc.
WEBSITE
https://www.dmprof.comHEADQUARTERS
Japan
Company Facts
Founded
2002
Primary Role
Component Supplier
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
-
Funding Total
-
New 'SANDO' System Keeps UAVs Safe from Collisions in Wildfire Areas
The 'SANDO' system enhances the safety of uncrewed aerial vehicles (UAVs) by ensuring their flight paths remain collision-free, particularly in hazardous environments like wildfires. This technology is crucial as UAVs are often deployed to gather vital information in such dangerous situations, where they face risks from sudden flare-ups and falling debris. The importance of the 'SANDO' system lies in its ability to protect UAVs from potential damage during operations in uncharted territories. By avoiding collisions with obstacles such as tree branches, the system allows for safer data collection, which is essential for rescuers responding to wildfires. This advancement could significantly improve the effectiveness of UAVs in emergency response scenarios. Looking ahead, the implementation of the 'SANDO' system could lead to broader applications of UAVs in various challenging environments. As the technology develops, stakeholders will be keen to observe its impact on UAV operational safety and efficiency in disaster response efforts. No further timeline was disclosed at the time of publication.
Robotics
MIT Develops SANDO: A Collision-Free Navigation System for UAVs in Unknown Environments
MIT researchers have developed an autonomous navigation system named SANDO, designed for uncrewed aerial vehicles (UAVs) to navigate safely in unpredictable environments. This system ensures that UAVs can avoid collisions with unknown moving obstacles, which is crucial in high-risk scenarios like search and rescue missions or disaster response. The significance of SANDO lies in its ability to provide formal safety guarantees in dynamic environments, where traditional navigation systems fall short. Unlike existing planners that only work in static settings or lack formal guarantees, SANDO uses a mathematical approach to ensure collision avoidance, making it particularly valuable for applications requiring real-time adaptability. Looking ahead, the potential applications for SANDO are vast, including emergency medical supply deliveries and exploration in hazardous areas. As the technology matures, it could revolutionize how UAVs operate in complex environments, enhancing safety and efficiency. No further timeline was disclosed at the time of publication.
Research Computer science and technology Algorithms Drones Robotics Autonomous vehicles
TwelveLabs Launches Pegasus 1.6 for Enhanced Video Understanding in Physical AI
TwelveLabs Inc. has unveiled its Pegasus 1.6 model, designed to enhance video understanding for physical AI applications. This model addresses the challenge of transforming complex video footage into actionable insights, enabling robotics and AI teams to train on real human experiences rather than starting from scratch. The significance of Pegasus 1.6 lies in its ability to provide temporal context, spatial reasoning, and task completion judgment, which are crucial for machines to navigate real-world environments. According to Jae Lee, co-founder and CEO of TwelveLabs, the model allows for a more precise understanding of actions and interactions captured in egocentric video, facilitating the development of smarter robotics systems. Looking ahead, TwelveLabs aims to further refine its video intelligence platform, focusing on the video understanding layer to improve training data for robotics teams. The company emphasizes that Pegasus 1.6 can utilize existing video data and analyze still images, making it a versatile tool for various applications in physical AI. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Assembly Human Robot Interaction / Haptics Manufacturing Microprocessors / SoC
Teledyne FLIR Introduces AI-Driven Air-to-Ground Tracking Software for UAS
Teledyne FLIR OEM has unveiled Prism A-ISR, a cutting-edge software module aimed at enhancing air-to-ground detection and tracking for uncrewed aircraft systems (UAS) and airborne intelligence, surveillance, and reconnaissance (ISR) platforms. Announced on October 6, this software leverages artificial intelligence to detect, classify, and track multiple ground objects in real time, utilizing data from various sensor types including midwave infrared (MWIR) and visible electro-optical (EO) sensors. The significance of Prism A-ISR lies in its ability to perform edge processing, enabling airborne systems to analyze sensor data independently of remote computing resources. This capability is crucial for applications requiring persistent surveillance and defense missions, as it enhances long-range situational awareness while minimizing false alarms. Teledyne FLIR's advanced image processing tools, including patented denoise and super-resolution technology, further improve detection capabilities in challenging conditions. Looking ahead, Teledyne FLIR's AIMMGen synthetic model-training service allows developers to quickly adapt the software for new target classes, streamlining the creation of mission models. The software is compatible with NVIDIA and Qualcomm embedded AI platforms and several Teledyne FLIR camera modules, including the NDAA-compliant Boson+ and Neutrino thermal camera families. No further timeline was disclosed at the time of publication.
AI Applications C-UAS Defense defense Drone News
Overview AI Introduces OV Spark and OV Spark Pro AI Inspection Cameras
Overview AI has launched the OV Spark and OV Spark Pro, a new line of AI inspection cameras featuring an agentic AI layer that communicates in plain English. The cameras come equipped with 10 inspection tools, including seven deep learning AI models and three ready-to-use tools for barcodes, measurements, and color matching. The introduction of the OV Spark cameras is significant as they address the challenges of consistency in inspection processes. Christine Chacko, a technical product marketing manager at Overview AI, highlighted that the cameras adapt to the shifting and rotating parts in a robot cell, ensuring accurate inspections. This innovation aims to enhance defect detection across factory lines. Looking ahead, Overview AI's mission is to ensure that every defect is caught in every factory, with the OV Spark designed to minimize setup work. The cameras are currently available for purchase directly from Overview AI and through distribution partners. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Cameras / Imaging / Vision Design / Development Manufacturing News
Epson Showcases Color Labeling and Robotic Automation at PACK EXPO 2026
Epson has announced its participation in PACK EXPO International, scheduled from October 18 to 21, 2026, where it will demonstrate its ColorWorks® on-demand color label printers, collaborative robots, and vision technology. These innovations aim to enhance the efficiency of packaging and fulfillment operations. The introduction of ColorWorks printers allows manufacturers to produce high-quality, customized color labels on demand, addressing the growing need for flexibility in labeling processes. Coupled with robotic automation, these solutions are designed to streamline various tasks, including handling, inspection, and packaging, thereby improving overall productivity. As the event approaches, industry professionals should watch for how Epson's integrated solutions can transform labeling and packaging workflows. No further timeline was disclosed at the time of publication.
NVIDIA GTC 2027 – San Jose, Mar 15–18, 2027
NVIDIA GTC 2027 runs Mar 15–18 in San Jose, with physical AI and robotics as a core theme. Poster call open until Nov 10, 2026; registration opens this fall.
OpenAI's GPT-6 Astra Dominates SuperCLUE's Robot-Brain Benchmark with Planning Superiority
OpenAI's GPT-6 Astra achieved the highest overall score in SuperCLUE's September 2026 EmbodiedCLUE-VLA evaluation, leading with a score of 85.71 in interaction and planning. This score significantly surpasses the runner-up, Gemini-3.8-Flash, which scored 64.29, highlighting Astra's notable advantage in planning capabilities. The importance of this evaluation lies in its comprehensive assessment of ten models, which includes basic perception, visual reasoning, interaction, planning, and embodied safety. SuperCLUE's report indicates that while Astra leads in overall performance, the evaluation's fixed input/output protocol may limit the generalization of results across different tasks and protocols, making it a useful but narrow comparison of each model's capabilities. Looking ahead, the next critical aspect to observe is how these models perform in real-world scenarios, particularly in executing plans and adapting to unforeseen circumstances. The results from physical trials will be essential to determine the practical applications of these models in robotics, beyond the theoretical scores presented in this benchmark.
OpenAI China
Robotics and Physical AI Addressing Key Physical Security Challenges in 2026
In 2026, over $23 billion has been invested in enhancing the integration of robotics and artificial intelligence for physical security. This investment aims to address the increasing complexity of threats against critical infrastructure, such as data centers and manufacturing plants. The adaptive capabilities of these technologies are essential for organizations to protect their assets effectively. The intersection of cybersecurity and physical protection presents new challenges, as demonstrated by the Jaguar Land Rover incident, where cyber breaches led to significant operational disruptions. Organizations must adapt to a rapidly changing security landscape, where legacy systems can exacerbate vulnerabilities. The need for proactive security measures is more pressing than ever, particularly in critical industries. At GTC Taipei 2025, companies like Foxlink showcased innovations such as the “robot dog,” designed to enhance physical security through adaptive functions and smart sensors. This technology represents a shift towards a more proactive security environment, enabling organizations to respond to complex threats effectively. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Automotive Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Manufacturing
IROS 2026 Closing Briefing — Pittsburgh, Sep 27–Oct 1
IROS 2026 closes in Pittsburgh with 1,900+ papers and 186 exhibitor listings. Humanoids, dexterous hands, tactile sensing and robot data led the show.
Safety Considerations Will Shape the Future of Humanoid Robots
In a recent discussion, Rick Balzano, Vice President of Go-to-Market for AI Services, Safety and Robotics at TaskUs, highlighted the critical work required to make humanoid robots reliable. He emphasized that unlike large language models, which operate on digital data, humanoid robots must navigate and interact with the physical world, necessitating extensive real-world data collection and validation. Balzano pointed out that while humanoid robots are often marketed as versatile workers, they currently remain highly specialized machines disguised in human-like forms. He noted that significant advancements have been made in areas such as locomotion and perception, but the gap between demonstration and real-world application is substantial, often involving controlled environments and remote assistance. Looking ahead, the industry must focus on bridging this gap to enhance the reliability of humanoid robots. Balzano's insights underscore the importance of safety and data integrity in developing robots that can operate effectively in diverse environments. No further timeline was disclosed at the time of publication.
AI and Robotics Innovation
Ailoys Brings Acoustic Industrial AI to IMTS 2026
Berlin's Ailoys brings acoustic industrial AI to IMTS 2026, Booth 237629. Edge sensors catch process drift on existing machines before scrap appears.
Physical AI Landscape: From Digital Intelligence to the Embodied Physical World
A comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.
Automate 2026 | Ubicept Explores Photon-Level Machine Vision
Ubicept demonstrated single-photon SPAD imaging at Automate 2026, achieving 140 dB HDR and >10 dB SNR gains for industrial robotics edge AI.
Vention Announces Two Major Robotics Collaborations at Automate 2026 | FANUC & Teradyne Robotics
Vention reveals AI-powered platform partnerships with FANUC America and Teradyne Robotics at Automate 2026, enabling software-defined automation across collaborative and industrial robot deployments.
CONSTRUCTION ROBOTICS | FUTURE HORIZONS: 2025–2030 & BEYOND
Construction robotics is entering its decisive decade. Autonomous jobsites, swarm coordination, humanoid integration, and a potential $60 billion market reshape every strategic decision in the industry.
CONSTRUCTION ROBOTICS | BUSINESS MODELS & INVESTMENT LANDSCAPE
Construction robotics attracted $4.4 billion in built environment tech funding through Q3 2025. SoftBank acquired ABB Robotics for $5.375 billion. RaaS is displacing capex models. AI-native platforms command 39x revenue multiples. This is where money meets machines.
ideaForge Signs MoU with Japan’s DMP to Develop AI Drones
ideaForge Technology Limited, India’s largest manufacturer of unmanned aerial vehicles (UAVs), has entered into a strategic partnership with Tokyo-based Digital Media Professionals Inc. (DMP) to develop advanced AI-driven drones and penetrate the Japanese defense market. The collaboration was announced on April 28, 2023, and aims to leverage cutting-edge edge AI silicon technology in the co-development of next-generation UAVs. This initiative reflects ideaForge's commitment to expanding its international presence and enhancing its technological capabilities in response to the growing demand for sophisticated drone solutions in defense applications.
Drone News Drone News Feeds India Drone Industry India Drone News Japan Drone Industry Japan Drone News
Is the NVIDIA-Siemens Partnership a Trojan Horse?
Media hailed it as a landmark alliance. But flip the view: it resembles a Trojan Horse. Siemens gains compute and world-model access; NVIDIA quietly secures control over industrial training data, model iteration, and world representation.
IFA 2026
IFA Berlin 2026 — the world’s largest consumer electronics and home technology trade show held in Berlin from September 4–8, showcasing cutting-edge innovations, global brand launches, startups, and future tech trends.
