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3D CAD Design Services

15 years of experience

3D CAD Design Services

Are you looking for high-quality and accurate 3D CAD design services for your next project? Look no further! Our team of experienced CAD specialists is here to help you bring your designs to life. We offer a wide range of CAD design services, including 3D modeling, 2D drafting, conversion, and migration services. Our CAD design process is transparent, efficient, and collaborative. We work closely with our clients to understand their requirements, and we provide regular updates throughout the design process to ensure that the final designs meet their expectations. Our process includes an initial consultation, project scope and proposal, design phase, quality control and review, and delivery and support. With our CAD design services, we can assure you of working with experienced CAD specialists who deliver quality work on time and at a competitive price.

3D CAD Modeling (Services)

2D Drafting (Services)

Conversion & Migration (Services)

Bring Your Designs to Life with Professional 3D CAD Design Services

We Offer

A Wide Range Of Services To Meet The Needs Of Our Clients

3D CAD Modeling Services

Our CAD specialists have extensive experience in building 3D models, ranging from simple designs to complex assemblies, using a variety of software tools such as NX, Solid Edge, SolidWorks, Creo, Autodesk Inventor, CATIA, and more. We work closely with our clients to understand their requirements and provide accurate 3D models that meet their needs.

2D Drafting Services

We understand the importance of accurate 2D drafting in the CAD design process, and we offer drafting services that cover all your needs. Our drafting services include converting your paper drawings and blueprints to digital formats, creating 2D drawings from 3D models, and drafting services for files from other CAD software platforms. We use industry-standard software tools such as AutoCAD and SolidWorks to create accurate and unambiguous 2D drawings that convey all the required information to the manufacturer.

Conversion and Migration Services

We understand that many companies have legacy data in various file formats, and we offer conversion and migration services to help you move your data to a more modern platform. Our conversion and migration services can cover all your paper drawings, blueprints, and even files from other CAD software platforms. We can convert files to and from various formats, ensuring that you can work with your data in the software tools of your choice. We also offer additional services such as rendering and simulation, product design and development, reverse engineering, and more. Our team of CAD specialists has extensive experience in a wide range of industries, including aerospace, automotive, consumer products, and medical devices, among others. We pride ourselves on providing quality work, timely delivery, and competitive pricing to ensure customer satisfaction.

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Listed below are the services
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Benefits Of Working With Our Cad Design Services

How It Works

Benefits Of Working With Our Cad Design Services

How It Works

TESTIMONIALS

What People Say

Professionalism and work ethics… "The level of professionalism and work ethic you bring to the table is simply great. The fact that clicked the most is when you took complete responsibility for our product development and the outcome is exactly what we desired. Thank you Prescient."

R&D Director

A leading European Machine Tool Manufacturer

First on our list, without doubt … “I greatly appreciate the software development work you have been doing for Level 3 Inspection for all these years. Your team’s skills and your methodical approach to perfection, coupled with your high level of professionalism, have made the road pretty smooth for us to achieve our organizational and operational integration goals. If we have to recommend a competent partner we can totally depend on, your name would be the first on our list, without a doubt. Thank you Prescient!”

Bill Greene

CEO, Level 3 Inspection, USA

They are the exception... "We've been working with Prescient Technologies for quite a few years now, and they continue to provide quality work in a timely manner for a reasonable cost. They are the exception to the two out of three rule! (Fast, High Quality or Good Price, pick two)"

Bob Squier

President, 3D Scan IT, Inc., USA

There could not have been a better alternative… "It was a chance meeting with the Prescient team that set the ball rolling. Initially I was skeptical but their attitude “Together we can” inspired confidence. ”Hand-holding” by Prescient was exemplary and that was crucial for a start-up like ours. Our project in Orthopaedic navigation involved totally new objectives in as yet unexplored areas to be achieved with innovative steps in CAD domain. Few years down the line together we have added a chapter at the very edge of scientific knowledge. Thanks to Prescient our software idea has now evolved into a full-fledged market-ready product. Today I am convinced that there could not have been a better alternative."

Dr Vijay Panchanadikar

President, 3D Scan IT, Inc., USA

Stanley Sunny

Director, CADMATE Software

faqs

Most common question about our services

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What kind of industries do you work with?

Our CAD design services are suitable for a wide range of industries, including manufacturing, automotive, aerospace, defense, architecture, and many others. We have experience in creating 3D models and 2D drawings for various products, components, and systems.

What software tools do you use for CAD design?

Our team of CAD specialists has expertise in using a variety of software tools, including NX, Solid Edge, SolidWorks, Creo, Autodesk Inventor, CATIA, and more. We can work with the software tools of your choice.

Can you work with my existing paper drawings or blueprints?

Yes, we offer conversion and migration services that can cover all your paper drawings, blueprints, and even files from other CAD software platforms. We can convert your paper drawings or blueprints into 3D models and 2D drawings that are accurate and high quality.

How long does it take to complete a CAD design project?

The timeline for a CAD design project depends on the complexity of the project, the scope of work, and the number of revisions required. We will provide you with a timeline estimate during the initial consultation phase.

Can I request changes or revisions to the CAD designs?

Yes, we encourage our clients to provide feedback and request changes or revisions to the designs throughout the design process. We will work closely with you to ensure that the final designs meet your requirements and expectations.

How do you ensure the accuracy and quality of the CAD designs?

We have a rigorous quality control and review process that includes multiple checks and tests to ensure the accuracy and quality of the CAD designs. Our team of CAD specialists also has extensive experience in creating 3D models and 2D drawings that are precise and reliable.

Do you provide CAD design services for prototypes or small production runs?

Yes, we offer CAD design services for both prototypes and small production runs. Our team can work with you to design and create 3D models and 2D drawings that are optimized for manufacturing and production.

Can you sign a non-disclosure agreement (NDA) to protect my intellectual property?

Yes, we are committed to protecting the confidentiality and intellectual property of our clients. We are happy to sign an NDA or any other legal agreements that are required to ensure the protection of your information and designs.

What types of files can you deliver for the final CAD designs?

We can deliver the final CAD designs in a variety of file formats, including IGES, STEP, STL, PDF, and others. We will work with you to determine the best file format for your specific needs and requirements.

Featured Posts

February 27 2024
admin

Intelligent Vision in the Mining Industry

In the year 1996, Martin Cruz Smith wrote on his novel, Rose, the following lines: “Then there was the whole concept of coal mining, which is a culture unto itself, the most dangerous occupation in the world, and which draws and develops a certain kind of man.” The occupation of mining, be it coal or gold, has remained one of the least sought-after professions in the world. Considering the hazards and the hard-work it brings, it is of no wonder that it was always well suited for a certain breed of men. Hazards are a common occurrence under the mines. Many factors contribute to the danger in the mining industry. They can be: Now that technology is growing rapidly bringing new solutions to the forefront, it has smartened up the safety, efficiency, productivity-related concerns in the mining industry. Artificial intelligence has been introduced in this sector some years ago, but AI could only sort out the repetitive work. There is a necessity for a system that can expand the scope of automation in the mining industry. What if there is an automated supervising authority that tracks, traces, records, predicts, and keeps overall watchful surveillance on every mining section? Well, an artificial intelligence-powered intelligent vision-based system could be a deciding factor in this regard. Here is how intelligent vision-based system could revolutionize the way the mining industry operates: Automated miner tracker A crucial aspect of such an intelligent system would be acting as “machine supervisors”. That means the computer vision can capture snapshots and videos with the help of smart cameras, reducing the need for human supervisors to oversee mining tasks. The shots and videos would be stored, analyzed later to monitor every mine worker, and implement necessary steps to improve productivity. Such vision solutions could help in the evaluation of a worker’s activity from day to day and monitoring various trajectories of people to strengthen security and process-related concerns. Tracking mining equipment and automation Vision-based intelligent tracking can track scheduled task status, real-time production, map the operator and equipment location, predict productivity based on analyzing underground mining sites, and even churn out safety instructions. Seems far-fetched but this is the future. Threat detection This is a grave concern in the mining industry. Any sort of miscalculated step, a mishap, or deliberate activity could put lives in jeopardy. A vision-based system could negate that by determining outside threats such as any callous action that puts men and machines in danger, detecting any unusual vehicle activity, or even catching unscrupulous personnel or presence of weapons/firearms. The immediate call would be notified automatically to the security team or police force. Smart database The most prominent facet of intelligent vision is its immense database and its ability to read, process data captured. It can collect and churn out useful data and save them in a database server. The data is processed into various data inputs like MySQL, pdf, or excel as desired by the mining team. The system can automate data pipeline processes and form a readable human-friendly interface. This improves data quality and transparency. The biggest catch is, it would save a lot of time and reduce human interference. Identification and classification of raw materials This is where intelligent vision could be a real game-changer. Instead of spending hours and days in manually reviewing image samples, the implementation of such solutions would fasten up the identification and classification of rock/ore samples. A highly trained AI vision could even determine the sort of compounds discovered just by evaluating drilling data. The next step would be labeling incoming compound samples just by scanning images or running stored information. This segment of intelligent vision has the potential to overhaul the mining industry. Miscellaneous Here are a few more ways computer-based vision system could change how mining operations are conducted: Powered by data and AI, the computer-based intelligent vision has immense potential to change the mining game forever. It is to be noted that the above-mentioned possibilities are not the only ones to consider and there could be more uses of such intelligent solutions. Smart collaboration makes smart results and the industry has ample amount of scope to deliver just that.

February 27 2024
admin

Computer Vision – The past and the present

Artificial Intelligence or in short AI happens to be that one game-changer that has all the means to alter the world of technology and innovation in gigantic proportions. Here, we are looking into one of the most powerful and captivating facets of AI which is Computer Vision, something that has permeated in our lives but most of us do not have a clue about it. Computer vision involves mimicking the intricacy of the human visual system by machine and identifying and processing images and videos in the same way that humans do. Credits go to advancements and innovations in artificial intelligence, deep learning, and neural networks, which has propelled the field across multiple successive levels and even surpassed humans in tasks like detection or labeling objects. Data generation is another driving factor behind such a rapid growth of computer vision, as we generate large amounts of data every day. The Past Although computer vision has tonnes of applications today which are growing exponentially, it first appeared in the 1950s. After almost two decades of experiments, it was in the 1970s when it witnessed commercial usage which was to distinguish between typed and handwritten text. So, what prompted such an experiment? It stems from a question related to Neuroscience which is how do our brains work. Let us climb up from the basic purpose of computer vision. It is all about recognizing similar features. Hence for a machine to understand such pictorial data, it needs to feed on thousands to millions of images. The next step is to run them through specifically made software processes, or algorithms, that prompts the computer to clamp down and identify similar patterns in all the entities. Quite revolutionary for its time but it was a painstaking task and required lots of coding and other efforts by the creators and their operators. Also, this was before the advent of deep learning, so the scope of computer vision was limited. Let us take the case of facial recognition, and here is the conventional way to do that: Remember, in the early days, there was little automation involved and hence everything needed to be executed manually. The Present The advent of deep learning presented a different approach to fixing computer vision issues. It removed the aspect of manually coding every single rule into the application. It introduced specific features, like small sets of applications that can detect and identify particular attributes in images, like its dimensions. The features then apply algorithms such as logistic regression, linear regression, decision trees, etc to identify patterns, classify images and detect objects in them. Machine learning made it quick and it took considerably less amount of time to decipher an image. Today, we have ultra-fast processors and chips with related hardware coupled with a reliable, fast internet, and of course, the cloud servers, making the entire process extremely fast. The advantage of merging cloud with computer vision is that there is always a ready-to-use repository with millions of processed images, hence this enables us to build upon previous work rather than starting from zero. As the AI industry keeps on evolving, tasks that used to take a week take 5 minutes today. Some computer vision for real-world applications takes microseconds today. Uses of intelligent vision Face recognition Facial recognition is probably the best application to come out of computer vision. Facial recognition involves algorithms that identify facial features in images and runs them through the massive repository of stored images to compare. Facial recognition first found its niche in the police department and other law enforcement bodies who use this technology to identify criminals and suspects in video recordings. Now facial recognition is found in handsets and other consumer devices that authenticate owner identities. Social media uses facial recognition to identify and verify users. Augmented reality Augmented reality or AR is a branch of technology that allows commercial computing devices to project upon and embed virtual entities on real-life features. Computer vision embedded in AR detects real-world objects to identify them as displayed on the device screen and place a computer-generated unreal entity. Self-driving cars Self-driving cars are a recent phenomenon and they are making a lot of news lately. Undoubtedly, it has been made possible by the advancements in computer vision, which is an integral part of self-driving vehicles. Computer vision helps self-driving cars to be aware of their vicinity. The smart cameras fixed on these cars capture real-time footage from different angles and feed it to the plugged-in repository. The captured footages are processed to ascertain different factors on the roads such as traffic signals, other cars, and pedestrians, lying objects, roadblocks, and road features. The self-driving car simultaneously steers its way through the roads, while avoiding hindrances, and safely making its way towards its endpoint. Self-driving is still in the build-up stage and only time will decide how far it evolves. Industrial fleet management This is where intelligent computer vision finds a significant placement. From identifying and tracking all the automotive vehicles in a fleet along with their operators to monitor the routes taken, pit-stops, operator behavior, prediction of circumstance, streamlining the supply chain, reducing manual labor costs; the industrial field has benefitted immensely from computer vision and it is an ever-evolving process. Computer vision has put a benchmark on the world of technology and certainly is an astounding feature to come out of AI. As AI keeps on evolving at a rapid pace, computer vision is becoming increasingly mainstream in our daily lives. What is more amazing is that AI is yet to reach its prime and computer vision is just the tip of the iceberg for whatever that is about to come.

February 27 2024
admin

Smart camera network – yesterday and today

The last decade saw a remarkable expansion of smart video surveillance networks. There is a worldwide commotion about smart video cameras that use facial recognition technology to record and track every single move the public makes. Governments in some countries have installed millions of surveillance cameras in every nook and corner in a bid to track any crime or mishap. Companies and even private homes are plugging in their cameras into police networks. In addition to that, the meteoric advancements made in the artificial intelligence (AI) field have brought in new edge and capabilities to harness security surveillance potentialities. The emergence of all-seeing smart camera networks is a ground-breaking development that aims to help and support law enforcement agencies to track the suspected, keep records, solve a crime and make the society a decent place to live in. Although law enforcement agencies have been using CCTV cameras since as far as the ’90s, there has been a sharp rise in smart cameras and sensors past few years. What is the reason for such emergence though of a smart video surveillance system? To understand the phenomenon, we have to take a walk through its history, the prime players that led to such a massive development among cameras. The early years In the initial years i.e. in their first decade since introduction, the humble CCTV cameras were low-resolution devices that recorded onto tapes. They were mostly deployed by businesses or city authorities to film a specific area of interest. Although CCTVs saw their place in public, it was not widespread like how it is today. Collecting footages from camera records would take hours before coming into a fruitful solution. In the late 1990s, a video surveillance system stepped up a level with the first internet-enabled surveillance camera being introduced to the market, which converted moving images and recorded clips into digital data. The video management system or VMS was introduced later which organized and allocated video information into databases. Although it is possible to plug-in large numbers of surveillance cameras into a VMS, it remains an expensive task. As a result, city councils came up with a unique idea, which was urging businesses and privately owned residences to install their cameras into the law enforcement server. Now that the number of cameras on police networks are thousands in number and only a small team of operators to watch them, law enforcement agencies face a new issue of concluding such a vast array of captured footage. This is where analytics came in. Video analytics is a revolutionary aspect that came around 2006, which worked on gathering all the footage, aggregating the images, and summarizing long videos. Video analytics itself came with three specific intents: Behavior recognition: It includes capabilities like violence detection, emotion recognition, fall detection, fire, and smoke detection, erratic behavior, loitering, jaywalking, freeway toll fare evasion, and even lie detection. Object recognition: It includes capabilities like recognizing faces, cars, weapons, animals, fires, and other things, as well as human characteristics like age, gender, and hair color. Anomalous behavior recognition: This field of detection works by focusing and recording a fixed area for a specific period and determining the circumstances to be deemed normal for that scene. If the camera spots something unusual, it flags the incident for attention. Video analytics system capabilities range from searching and analyzing throughout recorded footage or real-time streams to highlighting individuals or objects as it traverses a smart camera network. Video analytics covers a wide array of information retrieved from smart camera networks and converts them into meaningful data. The recent years CCTV surveillance has emerged into a multibillion-dollar industry that encompasses a wide range of industry verticals. It served as a major overhaul in police and law enforcement, found its place in health care facilities and educational institutions, became an integral part of any retail or commercial setup. CCTV surveillance and monitoring gave rise to a specific set of vendors who excel in providing such services. It incorporates and drives the whole ecosystem of tech companies such as Amazon, IBM, Microsoft, Cisco, and Verizon who have started to merge such networks with other tech verticals like broadband connectivity, cloud services, or video surveillance software. The UK has over 6 million video surveillance cameras installed throughout the country as of 2020 With the private and public sector eyeing for an expansion of video surveillance, smart cameras network has become a new cash cow. It is predicted that there will be something around 50 billion cameras in the world in the next 30 years. Although video surveillance started as a staple in law enforcement, private firms have started diversifying and driving such systems and/or products towards the commercial sector. The retail industry benefitted a lot from this system in particular, as they could now monitor queue length, amount of footfall, analyze shopping patterns, and chalk out floor layouts as per their convenience. Both public and private sectors agree on the further implementation of smart video surveillance. In the United States, smart camera networks are just emerging, and with the advent of “Internet-of-things” or IoT, the smart vision surveillance network is amplified into many folds to give precise and as a required outcome. Moreover, their installation and applications are being facilitated by almost every tech industry out there. In future cameras, networks will be required to respond to any given situation autonomously or with minimal human interaction.

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