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Real-Time Intelligent Perception System Powered by YOLOv8 and OpenCV6 Technologies:
In this project vision-based detection system that tracks and segments cars, traffic lights, pedestrians, trees, and stop signs in real-time from dashcam footage, and even estimates the distance to each object from the driver's perspective.
#AutonomousDriving_assist
#OpenCv
#artificial_intelligence
@AddiTech
In this project vision-based detection system that tracks and segments cars, traffic lights, pedestrians, trees, and stop signs in real-time from dashcam footage, and even estimates the distance to each object from the driver's perspective.
Unlike standard YOLO detection, I've extended the functionality to approximate distance using object position in the frame - giving a pseudo-depth insight using just 2D vision. Think of it like the first step toward monocular ADAS systems.
Built on YOLOv8x-seg from Ultralytics for fine-grained object masks.
#AutonomousDriving_assist
#OpenCv
#artificial_intelligence
@AddiTech
3β€1π₯1
#Introducing_The_Magazine
π Additive Manufacturing Magazine(downhole to deep space)
1)Small-Scale Additive
Manufacturers Find
2)Bridging Engineering Gaps
with Conventional and
Additive Manufacturing:
3)An AM Business Within a
Business:
4)Where AM and Machining:
#Matal_AM
#Magazine
@AddiTech
π Additive Manufacturing Magazine(downhole to deep space)
1)Small-Scale Additive
Manufacturers Find
Project DIAMOnD helps small manufacturers access 3D printing technology through shared facilities, training, and networked printers.
2)Bridging Engineering Gaps
with Conventional and
Additive Manufacturing:
Bifrost Manufacturing combines machining, welding, and fabrication with a growing focus on additive manufacturing to meet diverse customer needs.
3)An AM Business Within a
Business:
MHowco Additive operates inside a larger company focused on distributing large metal products, but is carving out new opportunities in 3D printing.
4)Where AM and Machining:
Knust Godwin, originally a precision machining company, now integrates metal additive manufacturing to complement its existing capabilities.#Additive_Manufacturing
#Matal_AM
#Magazine
@AddiTech
π₯4
π AddiTech is Hiring | Full Remote
AddiTech is opening 3 remote technical positions for the next development phase of our industrial platform in Metal Additive Manufacturing and AI.
We are looking for talented Iranian engineers currently based in Iran, preferably under 30, especially those affected by recent job loss, economic pressure, or difficult working conditions.
π§ Open Positions:
β’ Backend & Platform Architect
β’ Frontend & Industrial HMI Engineer
β’ Computer Vision & Edge AI Engineer
πΆ Payment:
Monthly payment in range of 1,200-1,800 EUR or Rial-equivalent through trusted legal exchange channels.
π Support:
Remote-work infrastructure and internet support may be considered for selected candidates in Iran.
πOnline Application Page
AddiTech is opening 3 remote technical positions for the next development phase of our industrial platform in Metal Additive Manufacturing and AI.
We are looking for talented Iranian engineers currently based in Iran, preferably under 30, especially those affected by recent job loss, economic pressure, or difficult working conditions.
π§ Open Positions:
β’ Backend & Platform Architect
β’ Frontend & Industrial HMI Engineer
β’ Computer Vision & Edge AI Engineer
πΆ Payment:
Monthly payment in range of 1,200-1,800 EUR or Rial-equivalent through trusted legal exchange channels.
π Support:
Remote-work infrastructure and internet support may be considered for selected candidates in Iran.
πOnline Application Page
β€1π1π1
AddiTech
π AddiTech is Hiring | Full Remote AddiTech is opening 3 remote technical positions for the next development phase of our industrial platform in Metal Additive Manufacturing and AI. We are looking for talented Iranian engineers currently based in Iran, preferablyβ¦
additech_hiring_May 2026.html
50.6 KB
πOffline Application Page for IRAN
π₯°2π1
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π AddiTech v.3.0 (Beta): Unprecedented Multi-Modal Fusion for Industrial AM
We are releasing an exclusive first look into the AddiTech v3.0 test environment. This session demonstrates a live, real-time in-situ monitoring deployment during a 4-plate LPBF build, seamlessly processing synchronized data from zoomed chamber optical (RGB) and acoustic sensors.
AddiTech 3 represents a massive architectural leap forward. Engineered specifically for demanding industrial environments, it operates with ultra-low, millisecond-level latency. For the first time in the industry, we are introducing true Multi-Modal Sensor Fusionβa platform capable of simultaneously supporting, synchronizing, and analyzing Acoustic, Vibration, Thermal, and RGB data streams.
As AddiTech 3.0 approaches its final deployment architecture, it delivers a highly modular, open-architecture ecosystem designed to eliminate the "black box" of metal 3D printing.
βοΈ Shape the manufacturing of tomorrow.
@AddiTech
We are releasing an exclusive first look into the AddiTech v3.0 test environment. This session demonstrates a live, real-time in-situ monitoring deployment during a 4-plate LPBF build, seamlessly processing synchronized data from zoomed chamber optical (RGB) and acoustic sensors.
AddiTech 3 represents a massive architectural leap forward. Engineered specifically for demanding industrial environments, it operates with ultra-low, millisecond-level latency. For the first time in the industry, we are introducing true Multi-Modal Sensor Fusionβa platform capable of simultaneously supporting, synchronizing, and analyzing Acoustic, Vibration, Thermal, and RGB data streams.
As AddiTech 3.0 approaches its final deployment architecture, it delivers a highly modular, open-architecture ecosystem designed to eliminate the "black box" of metal 3D printing.
βοΈ Shape the manufacturing of tomorrow.
@AddiTech
π₯3β‘1
π AddiTech v.3.0 (Beta)
Release Date : 10/08/2026
βοΈ Core Capabilities & Upgrades:
@AddiTech
Release Date : 10/08/2026
βοΈ Core Capabilities & Upgrades:
Edge Node Computing: Industrial-grade local processing ensuring zero-latency inference and maximum data security on the factory floor.
Source Synaptic Pipeline: A fully modular, node-based visual interface for routing complex data streams and building custom AI architectures.
Machine & Machinery Definition: Direct machine adapter integration (e.g., EOS M290) to sync physical sensor data with actual machine telemetry.
Custom Plugin & Model Deployment: Open-architecture support allowing the installation of third-party plugins and diverse machine learning model launch configurations.
Absolute Traceability (Evidence & Artifacts): A comprehensive registry system. Every session, log, and captured packet (Evidence), alongside all AI-generated outputs (Artifacts), is strictly traceable, replayable, and available for direct export.
ο»Ώ
@AddiTech
β€4π₯2β‘1